期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 58, 期 2, 页码 307-316出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2009.11.003
关键词
Swarm intelligence; Particle swarm; Novel global harmony search algorithm; Reliability problems; Position updating; Genetic mutation
资金
- National Natural Science Foundation of PR China [60674021]
Inspired by the swarm intelligence of particle swarm, a novel global harmony search algorithm (NGHS) is proposed to solve reliability problems in this paper. The proposed algorithm includes two important operations: position updating and genetic mutation with a small probability. The former enables the worst harmony of harmony memory to move to the global best harmony rapidly in each iteration, and the latter can effectively prevent the NGHS from trapping into the local optimum. Based on a large number of experiments, the proposed algorithm has demonstrated stronger capacity of space exploration than most other approaches on solving reliability problems. The results show that the NGHS can be an efficient alternative for solving reliability problems. (C) 2009 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据