Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems

doi:10.1007/s10489-015-0658-x

	Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems
	Gong, Dunwei 1,2; Liu, Yiping 1; Ji, Xinfang 3; Sun, Jing 4
	2015-10-22
发表期刊	Applied Intelligence
ISSN	0924669X
卷号	43 期号:3 页码:676-694
摘要	Hybrid interval multi-objective optimization problems are common in real-world applications. These problems involve both explicit and implicit objectives, and the values of these objectives are intervals. Few previous methods are suitable for them. An evolutionary algorithm with a large population and a user’s interval preferences was presented to effectively solve the problems in this paper. In the proposed algorithm, a similarity-based strategy was employed to estimate the interval values of implicit objectives of evolutionary individuals that the user had not evaluated in order to alleviate user fatigue; the user’s preferences to different objectives were expressed precisely as intervals by solving an auxiliary optimization problem; a sorting scheme based on the user’s preferences was proposed to guide the population evolving toward the user’s preferred regions. We applied the proposed method to an interior layout problem, which is a typical optimization problem with both interval parameters in the explicit objective and interval value of the implicit objective. The proposed algorithm was compared with four other optimization algorithms on the interior layout problem. Experimental results validated its effectiveness and superiority over the compared algorithms in terms of solution quality and the number of user’s evaluations. © 2015, Springer Science+Business Media New York.
关键词	Multiobjective optimization Quality control Evolutionary optimizations Hybrid objective Interval objectives Interval parameter Multi-objective optimization problem Optimization algorithms Optimization problems User preference
DOI	10.1007/s10489-015-0658-x
收录类别	EI ; SCIE
语种	英语
资助项目	Natural Science Foundation of Jiangsu Province[BK2012566]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000361391200013
出版者	Kluwer Academic Publishers
EI入藏号	20152200883294
EI主题词	Evolutionary algorithms
EI分类号	913.3 Quality Assurance and Control - 921.5 Optimization Techniques
来源库	Compendex
分类代码	913.3 Quality Assurance and Control - 921.5 Optimization Techniques
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/113555
专题	兰州理工大学
通讯作者	Liu, Yiping
作者单位	1.China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou, Peoples R China; 2.LanZhou Univ Technol, Sch Elect Engn & Informat Engn, Lanzhou, Peoples R China; 3.China Univ Min & Technol, Yinchuan Coll, Dept Mech Power & Informat Engn, Yinchuan, Peoples R China; 4.Huai Hai Inst Technol, Sch Sci, Lianyungang, Peoples R China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Gong, Dunwei,Liu, Yiping,Ji, Xinfang,et al. Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems[J]. Applied Intelligence,2015,43(3):676-694.
APA	Gong, Dunwei,Liu, Yiping,Ji, Xinfang,&Sun, Jing.(2015).Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems.Applied Intelligence,43(3),676-694.
MLA	Gong, Dunwei,et al."Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems".Applied Intelligence 43.3(2015):676-694.