.png){kind=icon}
返回
Two improved harmony search algorithms for solving engineering optimization problems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cnsns.2010.01.009.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper describes two new harmony search (HS) meta-heuristic algorithms for engineering optimization problems with continuous design variables The key difference between these algorithms and traditional (HS) method is in the way of adjusting bandwidth (bw). bw is very important factor for the high efficiency of the harmony search algorithms and can be potentially useful in adjusting convergence rate of algorithms to optimal solution First algorithm, proposed harmony search (PHS), introduces a new definition of bandwidth (bw). Second algorithm, improving proposed harmony search (IPHS) employs to enhance accuracy and convergence rate of PUS algorithm In IPHS, non-uniform mutation operation is introduced which is combination of Yang bandwidth and PHS bandwidth. Various engineering optimization problems, including mathematical function minimization problems and structural engineering optimization problems, are presented to demonstrate the effectiveness and robustness of these algorithms In all cases, the solutions obtained using IPHS are in agreement or better than those obtained from other methods (C) 2010 Elsevier B V All rights reserved
Keyword:
Harmony search
Engineering problems
Optimization
Meta-heuristic
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:
3.8
论文数:
9.2K
被引数:
1.8W
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
PREAI
分享收藏
Metaheuristics in combinatorial optimization: Overview and conceptual comparison组合优化中的元启发式: 概述和概念比较
PREAI
分享收藏Constraint-handling in genetic algorithms through the use of dominance-based tournament selection
PREAI
分享收藏Leisure time physical activity and dementia risk: a dose-response meta-analysis of prospective studies.png)
BMJ Open
OAAI
BMJ OpenIF0
OAAI分享收藏
查看更多内容