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用多目标演化优化算法解决约束选址问题
Solving constraints location problem with multi-objective optimizationevolutionary algorithm
【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。
【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.
【关键词】 多目标优化;
选址问题;
演化算法;
【Key words】 multi-objective optimization; location problem; evolutionary algorithm;
【Key words】 multi-objective optimization; location problem; evolutionary algorithm;
【基金】 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
- 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2003年03期
- 【分类号】TP301.6
- 【被引频次】38
- 【下载频次】349