NIB
发表于 2025-3-28 18:19:34
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obviate
发表于 2025-3-28 22:24:54
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拉开这车床
发表于 2025-3-29 01:40:32
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Anthrp
发表于 2025-3-29 03:25:03
The State of the Art: A Summary Statement,roperty, our constrained evolutionary optimization algorithm can acquire the optimal solution conceivably. Simulations are carried out to compare the proposed algorithm with well-known references on 13 benchmark problems and three engineering optimization problems. Our computational results demonstr
进取心
发表于 2025-3-29 10:34:20
https://doi.org/10.1007/3-8350-5714-6ficient constrained optimization algorithm that can find near-optimal solutions in a small number of function evaluations. The advantage of the method is shown by solving well-known nonlinear constrained problems.