| 用多目标演化优化算法解决约束选址问题 |
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| 引用本文： | 付朋辉,康立山,阎震宇. 用多目标演化优化算法解决约束选址问题[J]. 计算机工程与设计, 2003, 24(3): 1-3 |
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| 作者姓名： | 付朋辉 康立山 阎震宇 |
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| 作者单位： | 武汉大学,软件工程国家重点实验室,湖北,武汉,430072 |
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| 基金项目： | 国家自然科学基金资助项目(60073043,70071042,60133010)，并行与分布处理国家重点实验室基金资助项目 |
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| 摘 要： | 约束选址问题是一个多目标约束优化问题，传统算法（加权法）一次只能得到一个候选解，用多目标演化优化算法对其进行求解，可以一次得到多个候选解，给决策者提供更多的选择余地，以期获得更大的利益，数字试验表明，该方法优于传统多目标优化方法。
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| 关 键 词： | 多目标演化优化算法 约束选址问题 数学模型 目标函数 模拟退火算法 |
| 文章编号： | 1000-7024(2003)03-0001-03 |
| 修稿时间： | 2002-05-15 |
Solving constraints location problem with multi-objective optimization evolutionary algorithm |
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| FU Peng-hui,KANG Li-shan,YAN Zhen-yu. Solving constraints location problem with multi-objective optimization evolutionary algorithm[J]. Computer Engineering and Design, 2003, 24(3): 1-3 |
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| Authors: | FU Peng-hui KANG Li-shan YAN Zhen-yu |
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| Abstract: | Constraints location problem is a multi-objective problem. Only one solution can be gotten with running traditional algorithm one time. This paper presented a new multi-objective optimization evolutionary algorithm to get a pareto set of the solutions in order to get more benefit and to give the decision maker more choices. The experiments have showed that it has a better performance than traditional methods. |
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| Keywords: | multi-objective optimization location problem evolutionary algorithm |
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