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GS_CH_MOPSO_Grey

于 2021-05-13 发布 文件大小:20KB
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  多目标非线性约束的粒子群算法,采用灰度理论,混沌理论,动态惩罚函数,可针对任何复杂函数进行优化,效果很好(Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good)

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