标题:Dynamic Function Optimization by Improved Artificial Bee Colony Algorithm
作者:Jiang, Shuo
通讯作者:Jiang, S
作者机构:[Jiang, S]Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
会议名称:International Conference on Mechatronics Engineering and Computing Technology (ICMECT)
会议日期:APR 09-10, 2014
来源:MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY
出版年:2014
卷:556-562
页码:3562-3566
DOI:10.4028/www.scientific.net/AMM.556-562.3562
关键词:bee colony algorithm; ABC; dynamic function optimization
摘要:In this paper, an improved artificial bee colony algorithm (IABC) for dynamic environment optimization has been proposed. As we compared the IABC with greedy algorithm (GA), Particle swarm optimization (PSO) and original artificial bee colony algorithm (ABC), the result of dynamic function optimization shows that the IABC can obtain satisfactory solutions and good tracing performance for dynamic function in time.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:1
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902090011&doi=10.4028%2fwww.scientific.net%2fAMM.556-562.3562&partnerID=40&md5=9df4f82ac75408f21ed431ea4be2de16
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