Skip to main content

Table 2 Average results over 1000 runs under each setting of our (\(\mu +1\))ES-style IEC algorithm with crossover and mutation (standard deviations are shown in parentheses)

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

Problem \(\mu =1\) \(\mu =2\) \(\mu =5\) \(\mu =10\)
Sphere 135.3 (23.7) 156.0 (26.1) 209.0 (33.1) 250.7 (36.2)
Rosenbrock 4672 (1160) 5530 (1453) 7925 (1890) 10217 (2320)
Griewank 339.1 (59.3) 391.1 (65.2) 523.5 (82.7) 627.8 (90.5)
Ackley 7.848 (0.569) 7.878 (0.495) 8.411 (0.438) 8.841 (0.406)
Levy 36819 (5935) 35407 (6118) 35033 (5667) 35872 (5312)
Rastrigin 734.6 (50.8) 728.0 (51.1) 726.6 (44.1) 735.7 (43.3)