|
|
【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
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 |
|
回复此楼