| 具有约束多目标优化的进化算法 |
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| 引用本文： | 钱伟懿,段红月.具有约束多目标优化的进化算法[J].计算机应用与软件,2010,27(2):115-117. |
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| 作者姓名： | 钱伟懿 段红月 |
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| 作者单位： | 渤海大学数学系,辽宁,锦州,121000 |
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| 基金项目： | 辽宁省教育厅科学研究计划基金(2004C058) |
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| 摘 要： | 针对带有约束多目标优化问题，提出一种多目标优化进化算法。在选择过程中，采用约束的Pareto支配和聚集距离定义适应值，根据适应值挑选出有代表性的个体。在变异过程中，沿着权重梯度方向搜索来寻找可行的Pareto最优解。最后，采用两个数值算例测草算法的性能，结果表明该算法能获得多目标约束优化问题的可行Pareto最优解并且具有较好的分散性。
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| 关 键 词： | 进化算法 多目标优化 约束 Pareto支配 梯度 权重 |
EVOLUTIONARY ALGORITHM FOR MULTI-OBJECTIVE OPTIMISATION PROBLEMS WITH CONSTRAINTS |
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| Qian Weiyi,Duan Hongyue.EVOLUTIONARY ALGORITHM FOR MULTI-OBJECTIVE OPTIMISATION PROBLEMS WITH CONSTRAINTS[J].Computer Applications and Software,2010,27(2):115-117. |
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| Authors: | Qian Weiyi Duan Hongyue |
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| Affiliation: | Department of Mathematics/a>;Bohai University/a>;Jinzhou 121000/a>;Liaoning/a>;China |
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| Abstract: | In this paper,an evolutionary algorithm for multi-objective optimisation is proposed in light of multi-objective optimisation problems with constraints.In selection operation,we define fitness value with constraint Pareto dominance and crowding distance and pick out the representative individuals according to the fitness value.In mutation operation,we use weighted gradient direction search to find feasible Pareto optimal solutions.Finally,two numerical examples are given to test the performance of our algor... |
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| Keywords: | Evolutionary algorithm Multi-objective optimisation Constraints Pareto dominance Gradient Weight |
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