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基于模拟退火的多目标优化算法
引用本文:芦金婵,李乃成,王伟东.基于模拟退火的多目标优化算法[J].计算机工程与应用,2003,39(23):92-94,144.
作者姓名:芦金婵  李乃成  王伟东
作者单位:西安交通大学理学院,西安,710049
摘    要:该文剖析了多目标优化问题和物体退火之间的关系,发现两者之间有着天然的联系,并在此联系的基础上,构建了一种新型的多目标优化算法———基于模拟退火的多目标优化算法。最后,基于典型算例的数值仿真验证了算法的有效性。

关 键 词:多目标优化  模拟退火  Pareto最优解
文章编号:1002-8331-(2003)23-0092-03

Multi-objective Optimization Approach Based on Simulated Annealing
Lu Jinchan Li,Naicheng Wang Weidong.Multi-objective Optimization Approach Based on Simulated Annealing[J].Computer Engineering and Applications,2003,39(23):92-94,144.
Authors:Lu Jinchan Li  Naicheng Wang Weidong
Abstract:This paper anatomizes the relation between multi-objective optimization and simulated annealing,and there is a crude link between them.Then,it presents a new algorithm for Multi -objective Optimization:Multi -objective Optimization Approach Based on Simulated Annealing.At last,numerical simulation based on typical instance demonstrates the effectiveness of the proposed approach.
Keywords:Multi-objective optimization  Simulated Annealing  Pareto-optimality
本文献已被 CNKI 维普 万方数据 等数据库收录!
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