A novel global harmony search algorithm for reliability problems

被引：145

作者：

Zou, Dexuan ^{[1
]}

Gao, Liqun ^{[1
]}

Wu, Jianhua ^{[1
]}

Li, Steven ^{[2
]}

Li, Yang ^{[1
]}

机构：

[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China

[2] Univ S Australia, Div Business, Adelaide, SA 5001, Australia

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2010年 / 58卷 / 02期

关键词：

Swarm intelligence; Particle swarm; Novel global harmony search algorithm; Reliability problems; Position updating; Genetic mutation; GENETIC ALGORITHMS; OPTIMIZATION; SYSTEMS; REDUNDANCY; ALLOCATION; DESIGN;

D O I：

10.1016/j.cie.2009.11.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：307 / 316

页数：10

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