| 演化算法求解约束多目标优化问题 |
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| 引用本文： | 杨林根,李红梅.演化算法求解约束多目标优化问题[J].计算机工程与设计,2008,29(24). |
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| 作者姓名： | 杨林根 李红梅 |
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| 作者单位： | 广东白云学院计算机系,广东广州,510450 |
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| 摘 要： | 求解多目标优化问题的演化算法主要考虑如何处理相互冲突的多个目标间的优化,很少考虑对约束条件的处理.通过引入约束主导原理,提出一种无需采用罚函数,完全是基于个体排序的求解约束多目标优化问题的演化算法.对测试函数进行了实验,实验结果表明了该算法的可行性和有效性.
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| 关 键 词： | 约束多目标优化 演化算法 适应度赋值 约束主导原理 个体排序 |
Evolution algorithm for constrained multi-objective optimization problem |
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| YANG Lin-gen,LI Hong-mei.Evolution algorithm for constrained multi-objective optimization problem[J].Computer Engineering and Design,2008,29(24). |
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| Authors: | YANG Lin-gen LI Hong-mei |
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| Affiliation: | YANG Lin-gen,LI Hong-mei(Department of Computer,Guangdong Baiyun College,Guangzhou 510450,China) |
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| Abstract: | Evolution algorithm for constrained multi-objective optimization problems mainly focus on optimizing the conflicting multiple objectives without considering the constraint conditions.A genetic algorithm is described which uses constraint domain principle and bases on a individual ranking approach without using penalty function methods.Test results show that the new approach is feasible and effective. |
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| Keywords: | constrained multi-objective optimization evolution algorithm fitness assignment constraint domain principle individual ranking approach |
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