| 基于随机权和的多目标进化算法 |
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| 引用本文： | 林丹,赵瑞.基于随机权和的多目标进化算法[J].计算机工程与应用,2006,42(32):4-6,163. |
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| 作者姓名： | 林丹 赵瑞 |
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| 作者单位： | 1. 天津大学,数学系,天津,300072
2. 天津理工大学,数学系,天津,300191 |
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| 基金项目： | 国家自然科学基金;教育部天津大学-南开大学合作项目 |
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| 摘 要： | 在多目标进化算法理论和应用研究进展的基础上,通过采用外部群体的精英保留策略并引入拥挤距离来保持群体多样性的策略,设计了一种基于随机生成权向量的加权和函数的多目标进化算法。用所提出的方法求解若干常用的测试函数,并与NAGS-II进行比较,结果表明了算法的有效性。
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| 关 键 词： | 多目标目标进化算法 加权和方法 Pareto-最优解 Pareto-前沿 |
| 文章编号： | 1002-8331（2006）32-0004-03 |
| 收稿时间： | 2006-08-01 |
| 修稿时间： | 2006-08-01 |
Multi-objective Evolutionary Algorithm Based on Random Weight-Sum Method |
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| LIN Dan,ZHAO Rui.Multi-objective Evolutionary Algorithm Based on Random Weight-Sum Method[J].Computer Engineering and Applications,2006,42(32):4-6,163. |
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| Authors: | LIN Dan ZHAO Rui |
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| Affiliation: | 1.Department of Mathematies,Tianjin University,Tianjin 300072,China; 2.Department of Mathematies,Tianjin University of Teehnology,Tianjin 300191,China |
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| Abstract: | On the basis of recent theory and application development of MOEAs,a new MOEA which utilizing the aggregated function of randomly generated weight vectors is presented.This proposed method adopts an external population to perform elitism and preserve diversity in the population by using the idea of crowding distance.The effectiveness of the suggested algorithm is demonstrated by performing some numerical experiments on some commonly used benchmark problems problem instances and comparing its results against NSGA-II. |
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| Keywords: | multi-objective evolutionary algorithm weight-sum method Pareto-optimal solution Pareto-front |
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