GS_CH_MOPSO_Grey
所属分类：matlab编程
开发工具：matlab
文件大小：20KB
下载次数：186
上传日期：2013-09-20 11:02:09
上 传 者：
fangtaoao
说明： 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)
文件列表:
GS_CH_MOPSO_Grey\AbsoluteGreyIncidence.m (903, 2013-06-05)
GS_CH_MOPSO_Grey\BtypeGreyIncidence.m (919, 2013-06-05)
GS_CH_MOPSO_Grey\CtypeGreyIncidence.m (1214, 2013-06-05)
GS_CH_MOPSO_Grey\DengTypeGreyIncidence.m (1220, 2013-06-05)
GS_CH_MOPSO_Grey\discrete.asv (965, 2013-06-05)
GS_CH_MOPSO_Grey\discrete.m (895, 2013-06-05)
GS_CH_MOPSO_Grey\emigrant_chao.asv (1111, 2013-06-05)
GS_CH_MOPSO_Grey\emigrant_chao.m (1121, 2013-06-05)
GS_CH_MOPSO_Grey\hs_err_pid5740.log (16276, 2013-06-08)
GS_CH_MOPSO_Grey\ImproveAbsoluteGreyIncidence.m (1108, 2013-06-05)
GS_CH_MOPSO_Grey\ImproveRelativeGreyIncidence.asv (821, 2013-06-05)
GS_CH_MOPSO_Grey\ImproveRelativeGreyIncidence.m (1263, 2013-06-05)
GS_CH_MOPSO_Grey\Pso_Object.m (6937, 2013-06-06)
GS_CH_MOPSO_Grey\Pso_Opt.m (9600, 2013-06-08)
GS_CH_MOPSO_Grey\Pso_Opt_fun_1.m (905, 2013-06-05)
GS_CH_MOPSO_Grey\Pso_Opt_fun_2.m (1715, 2013-06-05)
GS_CH_MOPSO_Grey\Pso_restrain.m (4594, 2013-06-06)
GS_CH_MOPSO_Grey\RelativeGreyIncidence.m (1034, 2013-06-05)
GS_CH_MOPSO_Grey (0, 2013-06-17)
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