中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 工业信息学研究室  > 会议论文
题名: Group search optimizer algorithm for constrained optimization
作者: Shen H(申海) ; Zhu YL(朱云龙) ; Zou WP(邹文平) ; Zhu Z(朱珠)
作者部门: 工业信息学研究室
会议名称: 2011 International Workshop on Computer Science for Environmental Engineering and EcoInformatics, CSEEE 2011
会议日期: July 29-31, 2011
会议地点: Kunming, China
会议主办者: Kunming University of Science and Technology; International Association for Scientific and High Technology
会议录: Communications in Computer and Information Science
会议录出版者: Springer Verlag
会议录出版地: Heidelberg, Germany
出版日期: 2011
页码: 48-53
收录类别: EI
ISSN号: 1865-0929
ISBN号: 9783642226908
关键词: Algorithms ; Computer science ; Ecology ; Problem solving
摘要: In 2006, a novel Group Search Optimizer (GSO) inspired by animal behavioral ecology was proposed. On unconstrained optimization problems, GSO has shown its superior performance. In this paper, the performance of it in coping with constrained problems is investigated. Several experiments are performed on 13 well known and widely used benchmark problems. The obtained results are presented and compared with the best known solution obtained so far. The experimental results show that GSO can find the exact or close to global optimal solutions on most problems. GSO has an ability of solving constrained problem and is an alternative bio-inspired optimization algorithm.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8359
Appears in Collections:工业信息学研究室_会议论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
HYQW000629.pdf(180KB)----开放获取View Download
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Shen H(申海)]'s Articles
[Zhu YL(朱云龙)]'s Articles
[Zou WP(邹文平)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Shen H(申海)]‘s Articles
[Zhu YL(朱云龙)]‘s Articles
[Zou WP(邹文平)]‘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: HYQW000629.pdf
格式: Adobe PDF
此文件暂不支持浏览
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 © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace