arrow
返回

The bare bones fireworks algorithm: A minimalist global optimizer

delete2018-01-01
delete82
PRE
AI
J
Junzhi Li
Y
Ying Tan *
DOI:10.1016/j.asoc.2017.10.046delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The fireworks algorithm is a newly proposed swarm algorithm for global optimization, which adopts a novel manner of search called explosion. In this paper, we introduce a simplified version of the fireworks algorithm, where only the essential explosion operation is kept, called the bare bones fireworks algorithm. The bare bones fireworks algorithm is simple, fast and easy to implement. Sufficient conditions for local convergence are given. Experimental results on benchmark functions and real-world problems indicate that its performance is competitive and serviceable and it is extremely efficient. (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
Bare bones fireworks algorithm
Swarm intelligence
Global optimization
AI总结

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

Applied Soft Computing 封面图
Applied Soft Computing
IF:
6.6
论文数:
1.4W
被引数:
4.8W

机构

P
peking university
学者数:
11.9W
论文数: 8.7W
被引数: 146
引用论文

引用论文

Different developmental potentials of diencephalic and mesencephalic dopaminergic neurons in vitro
err1989-03-01
err0
PREAI
errJürgen Engele; Christoph Pilgrim; Matthias Kirsch; Ingrid Reisert
err分享
err收藏
Brain storm optimization algorithm: a review
err2016-02-26
err172
PREAI
errCheng, Shi; Qin, Quande; Chen, Junfeng; Shi, Yuhui
err分享
err收藏
err分享
err收藏
Bare bones differential evolution
err2009-07-01
err187
errOAAI
errOmran, Mahamed G. H.; Engelbrecht, Andries P.; Salman, Ayed
err分享
err收藏
err1997-01-01
err0
PREAI
errRainer Storn; Kenneth Price
err分享
err收藏
学者 查看更多内容