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GS_CH_MOPSO_Grey
- 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
ga遗传算法解最优解
- 这篇matlab程序是无需工具箱解决无约束目标函数最大值的程序(This matlab program is a program that does not need a toolbox to solve the maximum of an unconstrained objective function)