Research Article
Algorithmic Mechanism Design of Evolutionary Computation
Table 2
Benchmark functions.
| Number | Type | Characteristic | Bounds | Optimum fitness |
| | Uni | Sh Sphere | −100, 100 | −450 | | Sh Schwefel 1.2 | −450 | | Sh Rt Elliptic | −450 | | with Noise | −450 | | Schwefel 2.6 GB | −310 |
| | Multi | Sh Rosenbrock | −100, 100 | 390 | | Sh Rt Griewank | 0, 600 | −180 | | Sh Rt Ackley GB | −32, 32 | −140 | | Sh Rastrigin | −5, 5 | −330 | | Sh Rt Rastrigin | −5, 5 | −330 | | Sh Rt Weierstrass | −0.5, 0.5 | 90 | | Schwefel 2.13 | π, π | −460 | | Sh Expanded | −3, 1 | −130 | | Sh Rt Scaffer | −100, 100 | −300 |
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Uni = unimodal, Multi = multimodal, Sh = shifted, Rt = rotated, and GB = global on bounds.
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