================================================================================
  CONSOLIDATED GREEDY SET-COVER PORTFOLIOS (CASC-30)
================================================================================
  Generated by: crates/mrs-bench/src/bin/greedy_set_cover
  Consolidated : 2026-06-30 at commit 5cd1ac6

  Provenance:
    FNE, FEQ, UEQ, EPU, EPS, ICU <- /mnt/c/Users/user/tmp/portfolios_avx2/
      - run_feq.csv
      - run_fne_eps_epu.csv
      - run_ueq.csv

  NOTE: This portfolio is tuned specifically using AVX2-enabled sweep data
  sourced from /mnt/c/Users/user/tmp/portfolios_avx2/.
================================================================================

==========================================================
  GENERATING OPTIMAL PORTFOLIOS FOR DIVISION: FNE
==========================================================
--- Portfolio Size 1 (Optimal team for 1 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 1
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s11

--- Portfolio Size 2 (Optimal team for 2 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 2
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s11
   2. mrs-s04

--- Portfolio Size 3 (Optimal team for 3 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 3
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
------------------------------------------------------------
Selected portfolio (3 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12

--- Portfolio Size 4 (Optimal team for 4 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 4
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
------------------------------------------------------------
Selected portfolio (4 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01

--- Portfolio Size 5 (Optimal team for 5 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 5
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
------------------------------------------------------------
Selected portfolio (5 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06

--- Portfolio Size 6 (Optimal team for 6 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 6
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 7 (Optimal team for 7 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 7
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 8 (Optimal team for 8 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 8
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 9 (Optimal team for 9 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 9
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 10 (Optimal team for 10 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 10
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 11 (Optimal team for 11 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 11
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 12 (Optimal team for 12 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 12
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 13 (Optimal team for 13 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 13
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 14 (Optimal team for 14 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 14
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

--- Portfolio Size 15 (Optimal team for 15 cores) ---
Division filter : FNE
Total unique solved problems in scope: 35
Portfolio size  : 15
------------------------------------------------------------
Step 01: mrs-s11              | +25   new  | 25   / 35 covered  (71.4%)
Step 02: mrs-s04              | +4    new  | 29   / 35 covered  (82.9%)
Step 03: mrs-s12              | +3    new  | 32   / 35 covered  (91.4%)
Step 04: mrs-s01              | +1    new  | 33   / 35 covered  (94.3%)
Step 05: mrs-s06              | +1    new  | 34   / 35 covered  (97.1%)
Step 06: mrs-s08              | +1    new  | 35   / 35 covered  (100.0%)
No further strategies cover new problems. Stopping at step 7.
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s12
   4. mrs-s01
   5. mrs-s06
   6. mrs-s08

==========================================================
  GENERATING OPTIMAL PORTFOLIOS FOR DIVISION: FEQ
==========================================================
--- Portfolio Size 1 (Optimal team for 1 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 1
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s11

--- Portfolio Size 2 (Optimal team for 2 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 2
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s11
   2. mrs-s12

--- Portfolio Size 3 (Optimal team for 3 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 3
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
------------------------------------------------------------
Selected portfolio (3 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01

--- Portfolio Size 4 (Optimal team for 4 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 4
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
------------------------------------------------------------
Selected portfolio (4 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06

--- Portfolio Size 5 (Optimal team for 5 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 5
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
------------------------------------------------------------
Selected portfolio (5 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10

--- Portfolio Size 6 (Optimal team for 6 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 6
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08

--- Portfolio Size 7 (Optimal team for 7 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 7
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14

--- Portfolio Size 8 (Optimal team for 8 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 8
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
------------------------------------------------------------
Selected portfolio (8 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04

--- Portfolio Size 9 (Optimal team for 9 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 9
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
Step 09: mrs-s05              | +1    new  | 91   / 91 covered  (100.0%)
------------------------------------------------------------
Selected portfolio (9 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04
   9. mrs-s05

--- Portfolio Size 10 (Optimal team for 10 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 10
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
Step 09: mrs-s05              | +1    new  | 91   / 91 covered  (100.0%)
No further strategies cover new problems. Stopping at step 10.
------------------------------------------------------------
Selected portfolio (9 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04
   9. mrs-s05

--- Portfolio Size 11 (Optimal team for 11 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 11
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
Step 09: mrs-s05              | +1    new  | 91   / 91 covered  (100.0%)
No further strategies cover new problems. Stopping at step 10.
------------------------------------------------------------
Selected portfolio (9 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04
   9. mrs-s05

--- Portfolio Size 12 (Optimal team for 12 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 12
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
Step 09: mrs-s05              | +1    new  | 91   / 91 covered  (100.0%)
No further strategies cover new problems. Stopping at step 10.
------------------------------------------------------------
Selected portfolio (9 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04
   9. mrs-s05

--- Portfolio Size 13 (Optimal team for 13 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 13
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
Step 09: mrs-s05              | +1    new  | 91   / 91 covered  (100.0%)
No further strategies cover new problems. Stopping at step 10.
------------------------------------------------------------
Selected portfolio (9 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04
   9. mrs-s05

--- Portfolio Size 14 (Optimal team for 14 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 14
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
Step 09: mrs-s05              | +1    new  | 91   / 91 covered  (100.0%)
No further strategies cover new problems. Stopping at step 10.
------------------------------------------------------------
Selected portfolio (9 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04
   9. mrs-s05

--- Portfolio Size 15 (Optimal team for 15 cores) ---
Division filter : FEQ
Total unique solved problems in scope: 91
Portfolio size  : 15
------------------------------------------------------------
Step 01: mrs-s11              | +45   new  | 45   / 91 covered  (49.5%)
Step 02: mrs-s12              | +24   new  | 69   / 91 covered  (75.8%)
Step 03: mrs-s01              | +8    new  | 77   / 91 covered  (84.6%)
Step 04: mrs-s06              | +4    new  | 81   / 91 covered  (89.0%)
Step 05: mrs-s10              | +4    new  | 85   / 91 covered  (93.4%)
Step 06: mrs-s08              | +2    new  | 87   / 91 covered  (95.6%)
Step 07: mrs-s14              | +2    new  | 89   / 91 covered  (97.8%)
Step 08: mrs-s04              | +1    new  | 90   / 91 covered  (98.9%)
Step 09: mrs-s05              | +1    new  | 91   / 91 covered  (100.0%)
No further strategies cover new problems. Stopping at step 10.
------------------------------------------------------------
Selected portfolio (9 strategies):
   1. mrs-s11
   2. mrs-s12
   3. mrs-s01
   4. mrs-s06
   5. mrs-s10
   6. mrs-s08
   7. mrs-s14
   8. mrs-s04
   9. mrs-s05

==========================================================
  GENERATING OPTIMAL PORTFOLIOS FOR DIVISION: UEQ
==========================================================
--- Portfolio Size 1 (Optimal team for 1 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 1
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s11

--- Portfolio Size 2 (Optimal team for 2 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 2
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s11
   2. mrs-s04

--- Portfolio Size 3 (Optimal team for 3 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 3
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
------------------------------------------------------------
Selected portfolio (3 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02

--- Portfolio Size 4 (Optimal team for 4 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 4
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
------------------------------------------------------------
Selected portfolio (4 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08

--- Portfolio Size 5 (Optimal team for 5 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 5
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
------------------------------------------------------------
Selected portfolio (5 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14

--- Portfolio Size 6 (Optimal team for 6 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 6
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
------------------------------------------------------------
Selected portfolio (6 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01

--- Portfolio Size 7 (Optimal team for 7 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 7
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 8 (Optimal team for 8 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 8
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 9 (Optimal team for 9 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 9
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 10 (Optimal team for 10 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 10
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 11 (Optimal team for 11 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 11
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 12 (Optimal team for 12 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 12
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 13 (Optimal team for 13 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 13
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 14 (Optimal team for 14 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 14
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

--- Portfolio Size 15 (Optimal team for 15 cores) ---
Division filter : UEQ
Total unique solved problems in scope: 68
Portfolio size  : 15
------------------------------------------------------------
Step 01: mrs-s11              | +39   new  | 39   / 68 covered  (57.4%)
Step 02: mrs-s04              | +14   new  | 53   / 68 covered  (77.9%)
Step 03: mrs-s02              | +7    new  | 60   / 68 covered  (88.2%)
Step 04: mrs-s08              | +3    new  | 63   / 68 covered  (92.6%)
Step 05: mrs-s14              | +3    new  | 66   / 68 covered  (97.1%)
Step 06: mrs-s01              | +1    new  | 67   / 68 covered  (98.5%)
Step 07: mrs-s15              | +1    new  | 68   / 68 covered  (100.0%)
No further strategies cover new problems. Stopping at step 8.
------------------------------------------------------------
Selected portfolio (7 strategies):
   1. mrs-s11
   2. mrs-s04
   3. mrs-s02
   4. mrs-s08
   5. mrs-s14
   6. mrs-s01
   7. mrs-s15

==========================================================
  GENERATING OPTIMAL PORTFOLIOS FOR DIVISION: EPU
==========================================================
--- Portfolio Size 1 (Optimal team for 1 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 1
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s01

--- Portfolio Size 2 (Optimal team for 2 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 2
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 3 (Optimal team for 3 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 3
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 4 (Optimal team for 4 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 4
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 5 (Optimal team for 5 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 5
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 6 (Optimal team for 6 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 6
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 7 (Optimal team for 7 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 7
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 8 (Optimal team for 8 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 8
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 9 (Optimal team for 9 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 9
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 10 (Optimal team for 10 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 10
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 11 (Optimal team for 11 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 11
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 12 (Optimal team for 12 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 12
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 13 (Optimal team for 13 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 13
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 14 (Optimal team for 14 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 14
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

--- Portfolio Size 15 (Optimal team for 15 cores) ---
Division filter : EPU
Total unique solved problems in scope: 16
Portfolio size  : 15
------------------------------------------------------------
Step 01: mrs-s01              | +14   new  | 14   / 16 covered  (87.5%)
Step 02: mrs-s06              | +2    new  | 16   / 16 covered  (100.0%)
No further strategies cover new problems. Stopping at step 3.
------------------------------------------------------------
Selected portfolio (2 strategies):
   1. mrs-s01
   2. mrs-s06

==========================================================
  GENERATING OPTIMAL PORTFOLIOS FOR DIVISION: EPS
==========================================================
--- Portfolio Size 1 (Optimal team for 1 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 1
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 2 (Optimal team for 2 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 2
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 3 (Optimal team for 3 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 3
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 4 (Optimal team for 4 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 4
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 5 (Optimal team for 5 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 5
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 6 (Optimal team for 6 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 6
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 7 (Optimal team for 7 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 7
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 8 (Optimal team for 8 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 8
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 9 (Optimal team for 9 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 9
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 10 (Optimal team for 10 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 10
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 11 (Optimal team for 11 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 11
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 12 (Optimal team for 12 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 12
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 13 (Optimal team for 13 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 13
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 14 (Optimal team for 14 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 14
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

--- Portfolio Size 15 (Optimal team for 15 cores) ---
Division filter : EPS
Total unique solved problems in scope: 38
Portfolio size  : 15
------------------------------------------------------------
Step 01: mrs-s02              | +38   new  | 38   / 38 covered  (100.0%)
No further strategies cover new problems. Stopping at step 2.
------------------------------------------------------------
Selected portfolio (1 strategies):
   1. mrs-s02

==========================================================
  GENERATING OPTIMAL PORTFOLIOS FOR DIVISION: ICU
==========================================================
--- Portfolio Size 1 (Optimal team for 1 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 2 (Optimal team for 2 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 3 (Optimal team for 3 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 4 (Optimal team for 4 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 5 (Optimal team for 5 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 6 (Optimal team for 6 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 7 (Optimal team for 7 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 8 (Optimal team for 8 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 9 (Optimal team for 9 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 10 (Optimal team for 10 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 11 (Optimal team for 11 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 12 (Optimal team for 12 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 13 (Optimal team for 13 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 14 (Optimal team for 14 cores) ---
No solved problems found in division 'icu'.

--- Portfolio Size 15 (Optimal team for 15 cores) ---
No solved problems found in division 'icu'.

