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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