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Table 5 Average results over 10 runs of our offline meta-level approach with a different setting of the string length

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
Length 4 Length 20 Length 40 Length 200
Sphere 135.3 (23.7) 136.8 (22.5) 129.1 (21.8) 130.0 (22.4) 140.4 (26.0)
Rosenbrock 4672 (1160) 4490 (1164) 4447 (1092) 4490 (1152) 4742 (1257)
Griewank 339.1 (59.3) 342.9 (56.3) 323.7 (54.5) 326.8 (56.9) 349.8 (61.6)
Ackley 7.848 (0.569) 7.818 (0.537) 7.769 (0.520) 7.761 (0.532) 7.885 (0.516)
Levy 36819 (5935) 30317 (4386) 25928 (4270) 25326 (4414) 26023 (4255)
Rastrigin 734.6 (50.8) 682.0 (44.5) 622.8 (44.0) 617.8 (46.3) 625.8 (43.7)
  1. Standard deviations in parentheses are calculated over 1000 runs by the ten designed IEC algorithms for each problem