.png){kind=icon}
返回
A novel global harmony search algorithm for reliability problems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cie.2009.11.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Swarm intelligence
Particle swarm
Novel global harmony search algorithm
Reliability problems
Position updating
Genetic mutation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
机构
引用论文
Kinematic and kinetic differences in the execution of vertical jumps between people with good and poor ankle joint dorsiflexion踝关节背屈良好和不良的人在执行垂直跳跃时的运动学和动力学差异
.png){kind=icon}
PREAI
分享收藏分享收藏An efficient particle swarm approach for mixed-integer programming in reliability-redundancy optimization applications可靠性冗余优化应用中混合整数规划的有效粒子群方法
PREAI
分享收藏
查看更多内容