演化计算在多目标优化问题中的应用 |
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引用本文: | 李志杰.演化计算在多目标优化问题中的应用[J].适用技术市场,2011(16):136-137. |
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作者姓名: | 李志杰 |
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作者单位: | 湖南理工学院计算机与信息工程系,湖南岳阳414006 |
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摘 要: | 多目标优化问题是一类很普遍的问题。演化算法是一种通过模拟自然界的生物演化过程搜索最优解的方法.用于求解多目标优化问题有其独特的优势。系统介绍了多目标演化算法特点、需要解决的关键问题、算法框架、算法实现及应用趋势。
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关 键 词: | 多目标优化 演化算法 Pareto最优解集 |
A Summary for Evolutionary Computation and Its Application in Multi-Objective Optimization |
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Abstract: | Multi-objective optimization problems exist everywhere. Evolutionary algorithm comes from the natural evolution to search optimal solutions,and this algorithm have more advantages than traditional algorithms. Systematically introduces the multi-objective evolutionary algorithms and a number of key issues. |
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Keywords: | multi-objective optimization problems evolutionary algorithm pareto set |
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