中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 信息服务与智能控制技术研究室  > 会议论文
题名:
Multi-hive artificial bee colony algorithm for constrained multi-objective optimization
作者: Zhang H(张浩); Zhu YL(朱云龙); Yan XH(晏晓辉)
作者部门: 信息服务与智能控制技术研究室
会议名称: 2012 IEEE Congress on Evolutionary Computation, CEC 2012
会议日期: June 10, 2012 - June 15, 2012
会议地点: Brisbane, QLD, Australia
会议录: 2012 IEEE Congress on Evolutionary Computation, CEC 2012
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC
出版日期: 2012
页码: 1-8
收录类别: EI ; CPCI(ISTP)
EI收录号: 20124015500582
WOS记录号: WOS:000312859302061
产权排序: 1
ISBN号: 978-1-4673-1509-8
关键词: Multi-Hive ; ABC algorithm ; Constraint ; Multiobjective Optimization ; symbiosis theory
摘要: This paper presents a general cooperative coevolution model inspired by the concept and main ideas of the coevolution of symbiotic species in natural ecosystems. A novel approach called "multi-hive artificial bee colony" for constrained multi-objective optimization (MHABC-CMO) is proposed based on this model. A novel information transfer strategy among multiple swarms and division operator are proposed in MHABC-CMO to tie it closer to natural evolution, as well as improve the robustness of the algorithm. Simulation experiment of MHABC-CMO on a set of benchmark test functions are compared with other nature inspired techniques which includes multi-objective artificial bee colony (MOABC), nondominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO). The numerical results demonstrate MHABC-CMO approach is a powerful search and optimization technique for constrained multi-objective optimization. © 2012 IEEE.
语种: 英语
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9885
Appears in Collections:信息服务与智能控制技术研究室_会议论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Multi-hive artificial bee colony algorithm for constrained multi-objective optimization.pdf(974KB)----开放获取View Download

作者单位: 1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Shenyang, China
2.Key Laboratory of Industrial Informatics, Graduate School, Chinese Academy of Sciences, 100039, Beijing, China

Recommended Citation:
Zhang H,Zhu YL,Yan XH. Multi-hive artificial bee colony algorithm for constrained multi-objective optimization[C]. 2012 IEEE Congress on Evolutionary Computation, CEC 2012. Brisbane, QLD, Australia. June 10, 2012 - June 15, 2012.Multi-hive artificial bee colony algorithm for constrained multi-objective optimization.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhang H(张浩)]'s Articles
[Zhu YL(朱云龙)]'s Articles
[Yan XH(晏晓辉)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhang H(张浩)]‘s Articles
[Zhu YL(朱云龙)]‘s Articles
[Yan XH(晏晓辉)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: Multi-hive artificial bee colony algorithm for constrained multi-objective optimization.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace