| 引用本文: | 郝翔，李人厚.一种快速有效的多模态函数寻优方法[J].控制理论与应用,1997,14(5):765~769.[点击复制] |
| HAO Xiang and LI Renhou.An Effective and Rapid Optimization Algorithm for Multimodal Function──Dual Population Genetic Algorithm[J].Control Theory and Technology,1997,14(5):765~769.[点击复制] |
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| 一种快速有效的多模态函数寻优方法 |
| An Effective and Rapid Optimization Algorithm for Multimodal Function──Dual Population Genetic Algorithm |
| 摘要点击 1631 全文点击 625 投稿时间：1996-01-15 修订日期：1996-09-24 |
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| DOI编号 |
| 1997,14(5):765-769 |
| 中文关键词 函数优化 优化算法 遗传算法 |
| 英文关键词 function optimization optimization algorithms genetic algorithm |
| 基金项目 |
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| 中文摘要 |
| 为了解决多模态函数优化问题中全局搜索和局部优化的矛盾，本文提出一种模仿社会分工现象的观群体遗传算法，该算法用一个群体搜索，另一个群体优化.仿真结果表明：和现有方法相比，该算法不仅不会陷入局部极小点，而且收敛速度极快，是一种多模态函数寻优的有效方法。 |
| 英文摘要 |
| The ambivalence between global search and local optimization exists in most traditional optimization algorithms for multimodal function. To solve this problem ，a dual population genetic algorithm simulating the cooperation phenomenon in human society is presented in this paper. The key idea lies on that one population is used for global search while the other is used for local optimization. From the result of simulation, the conclusion can be drawn that compared with other methods，this algorithm will converge to the global optimum more quickly，and hardly gets stuck at a local optimum. |