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baroshi木虫 (正式写手)
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[求助]
帮忙查一篇文章的SCI号，谢谢。
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A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems [ 发自手机版 http://muchong.com/3g ] |
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muse
捐助贵宾 (知名作家)
- LS-EPI: 147
- 应助: 314 (大学生)
- 贵宾: 0.549
- 金币: 20674
- 散金: 2783
- 红花: 81
- 沙发: 156
- 帖子: 6098
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- 专业: 保险学
3楼2014-09-21 18:41:30
muse
捐助贵宾 (知名作家)
- LS-EPI: 147
- 应助: 314 (大学生)
- 贵宾: 0.549
- 金币: 20674
- 散金: 2783
- 红花: 81
- 沙发: 156
- 帖子: 6098
- 在线: 1468.2小时
- 虫号: 1207111
- 注册: 2011-02-19
- 专业: 保险学
【答案】应助回帖
★ ★ ★ ★ ★
感谢参与，应助指数 +1
baroshi: 金币+5, ★★★★★最佳答案 2014-09-21 19:06:34
sunshan4379: LS-EPI+1, 感谢应助！ 2014-09-21 19:35:50
感谢参与，应助指数 +1
baroshi: 金币+5, ★★★★★最佳答案 2014-09-21 19:06:34
sunshan4379: LS-EPI+1, 感谢应助！ 2014-09-21 19:35:50
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A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems 作者:Jiao, LC (Jiao, Licheng)[ 1 ] ; Luo, JJ (Luo, Juanjuan)[ 1 ] ; Shang, RH (Shang, Ronghua)[ 1 ] ; Liu, F (Liu, Fang)[ 1 ] APPLIED SOFT COMPUTING 卷: 14 页: 363-380 子辑: C DOI: 10.1016/j.asoc.2013.10.008 出版年: JAN 2014 查看期刊信息 摘要 For constrained multi-objective optimization problems (CMOPs), how to preserve infeasible individuals and make use of them is a problem to be solved. In this case, a modified objective function method with feasible-guiding strategy on the basis of NSGA-II is proposed to handle CMOPs in this paper. The main idea of proposed algorithm is to modify the objective function values of an individual with its constraint violation values and true objective function values, of which a feasibility ratio fed back from current population is used to keep the balance, and then the feasible-guiding strategy is adopted to make use of preserved infeasible individuals. In this way, non-dominated solutions, obtained from proposed algorithm, show superiority on convergence and diversity of distribution, which can be confirmed by the comparison experiment results with other two CMOEAs on commonly used constrained test problems. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved. 关键词 作者关键词:Constrained multi-objective optimization; Constraint handling; Modified objective function method; Feasible-guiding strategy KeyWords Plus:EVOLUTIONARY ALGORITHMS; PARAMETER OPTIMIZATION; GENETIC ALGORITHMS 作者信息 通讯作者地址: Luo, JJ (通讯作者) [显示增强组织信息的名称] Xidian Univ, Minist Educ China, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China. 地址: [显示增强组织信息的名称] [ 1 ] Xidian Univ, Minist Educ China, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China 电子邮件地址:ljjinxd@163.com 基金资助致谢 基金资助机构 授权号 National Natural Science Foundation of China 61001202 61003199 China Post-Doctoral Science Foundation 201104658 20090451369 National Research Foundation for the Doctoral Program of Higher Education of China 200807010003 20100203120008 20090203120016 Fund for Foreign Scholars in University Research and Teaching Programs B07048 Program for Cheung Kong Scholars and Innovative Research Team in University IRT1170 查看基金资助信息 出版商 ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 类别 / 分类 研究方向:Computer Science Web of Science 类别:Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications 文献信息 文献类型:Article 语种:English 入藏号: WOS:000327529200005 ISSN: 1568-4946 电子 ISSN: 1872-9681 期刊信息 目录： Current Contents Connect® Impact Factor (影响因子): Journal Citation Reports® 其他信息 IDS 号: 259LU Web of Science 核心合集中的 "引用的参考文献": 40 Web of Science 核心合集中的 "被引频次": 0 |
2楼2014-09-21 18:41:04
