.png){kind=icon}
返回
A variable step size firefly algorithm for numerical optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.amc.2015.04.065.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Firefly algorithm is a novel nature inspired optimization algorithm, which has been demonstrated to perform well on various numerical optimization problems. However, in standard firefly algorithm, it adopted the fixed step size throughout all iterations. This will result in the algorithm easily getting trapped in the local optima and causing low precision. In order to remedy this defect, we use a variable strategy for step size setting. The results show that the proposed algorithm enhances the performance of the standard firefly algorithm. (C) 2015 Elsevier Inc. All rights reserved.
Keyword:
Firefly algorithm
Variable step size
local optima
Numerical optimization
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:
3.4
论文数:
2.3W
被引数:
3.3W
机构
引用论文
分享收藏Multi-objective economic emission dispatch solution using hybrid FFA (firefly algorithm) and considering wind power penetration.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏 没有更多内容
没有更多内容