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Table 4 Average results over 10 runs of our offline meta-level approach with a different setting of the number of runs for fitness evaluation

From: Interactive evolutionary computation with minimum fitness evaluation requirement and offline algorithm design

Test problem (1+1)ES-style IEC with \(\mu =1\) Meta-level algorithm design approach
5 runs 20 runs 100 runs
Sphere 135.3 (23.7) 158.1 (27.8) 147.3 (25.7) 140.4 (26.0)
Rosenbrock 4672 (1160) 5623 (1344) 5046 (1281) 4742 (1257)
Griewank 339.1 (59.3) 398.7 (68.9) 372.3 (64.7) 349.8 (61.6)
Ackley 7.848 (0.569) 8.203 (0.462) 7.968 (0.498) 7.885 (0.516)
Levy 36819 (5935) 28403 (4504) 27281 (4419) 26023 (4255)
Rastrigin 734.6 (50.8) 649.2 (42.4) 637.5 (41.1) 625.8 (43.7)
  1. Standard deviations in parentheses are calculated over 1000 runs of the ten designed IEC algorithms (100 runs of each algorithm) for each problem