| 一种具有可控性能的多目标遗传算法 |
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| 引用本文： | 邝达,郑金华.一种具有可控性能的多目标遗传算法[J].计算机工程与应用,2006,42(27):36-39,99. |
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| 作者姓名： | 邝达 郑金华 |
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| 作者单位： | 湘潭大学信息工程学院,湖南,湘潭,411105 |
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| 基金项目： | 国家自然科学基金;湖南省自然科学基金 |
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| 摘 要： | 文章基于极坐标的支配概念来描述多目标遗传算法中解之间的优劣关系,并由此提出了一种新的多目标遗传算法(PMOEA)。该算法可以通过参数的调节,让决策者在解的收敛性和分布性之间作折衷选择。在实验部分将PMOEA和NSGA2进行了性能比较,结果证实了PMOEA的性能可控性。
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| 关 键 词： | 支配 多目标遗传算法 收敛性 分布性 |
| 文章编号： | 1002-8331-（2006）27-0036-04 |
| 收稿时间： | 2006-05-01 |
| 修稿时间： | 2006-05-01 |
A Multi-objective Genetic Algorithm with Controllable Performance |
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| KUANG Da,ZHENG Jin-hua.A Multi-objective Genetic Algorithm with Controllable Performance[J].Computer Engineering and Applications,2006,42(27):36-39,99. |
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| Authors: | KUANG Da ZHENG Jin-hua |
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| Affiliation: | Institute of Information Engineering,Xiangtan University,Xiangtan,Hunan 411105 |
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| Abstract: | In this paper,a dominating concept based on polar coordinates is introduced to describe the relationship between the solutions in multi-objective genetic algorithm.Based on this dominating concept,we propose a new multiobjective genetic algorithm named PMOEA.Decision maker can easily make a choice between convergence and distribution of solutions by adjusting a parameter in PMOEA.In our experiments,PMOEA is compared with NSGA2. Finally the experimental results demonstrate the controllable performance of PMOEA. |
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| Keywords: | dominating multi-objective genetic algorithm convergence distribution |
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