计算机工程与应用2011，Vol.47Issue(31)：108-111,174,5.DOI:10.3778/j.issn.1002-8331.2011.31.030
多目标自适应和声搜索算法
Multi-objective self-adaptive harmony search algorithm
摘要
Abstract
A self-adaptive harmony search algorithm incorporate Pareto dominance to solve multi-objective optimization problems is presented.The algorithm adopts an external archive to keep non-dominated solutions.In order to maintain the diversity of the non-dominated solutions, a crowding measure is proposed in this article.The crowding strategy can measure the crowding degree accurately.The experiments are performed using five benchmark test functions and compared with other multi-objective optimization algorithms.The experiment results show that, the proposed MOSAHS algorithm is an effective multi-objective harmony search algorithm with fine performance in both convergence and diversity.关键词
多目标优化:和声搜索算法/拥挤度Key words
multi-objective optimization/harmony search algorithm/crowing degree分类
信息技术与安全科学引用本文复制引用
陈莹珍,高岳林..多目标自适应和声搜索算法[J].计算机工程与应用,2011,47(31):108-111,174,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60962006). （the National Natural Science Foundation of China under Grant No.60962006）
