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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