.png){kind=icon}
返回
Harmony search algorithm with dynamic control parameters
.png){kind=icon}
PRE
AI
DOI：10.1016/j.amc.2012.06.048.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Harmony search (HS) is a population-based meta-heuristic imitating the music improvisation process, which has been successfully applied to optimization problems in recent years. This paper presents an effective harmony search algorithm for solving global continuous optimization problems. The proposed method presents a novel improvisation process which is different from the classical HS in two aspects. Firstly, the candidate harmony is chosen from the harmony memory by a tournament selection rule, so that the harmonies with better fitness will have more opportunities to be used in generating new harmonies. Secondly, two key control parameters, pitch adjustment rate (PAR) and bandwidth distance (bw), are adjusted dynamically with respect to the evolution of the search process and the different search spaces of the optimization problems. Numerical results demonstrate that the proposed algorithm performs much better than the existing HS variants in terms of the solution quality and the stability. (C) 2012 Elsevier Inc. All rights reserved.
Keyword:
Harmony search
Continuous optimization
Meta-heuristics
Evolutionary algorithms
Dynamic parameter
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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
查看更多内容