模式识别与人工智能
Wednesday, Apr. 2, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2014, Vol. 27 Issue (6): 569-576    DOI:
Researches and Applications Current Issue| Next Issue| Archive| Adv Search |
ε-Pareto Dominance Strategy Based on Angle Preference in MOEA
ZHENG Jin-Hua, LAI Nian, GUO Guan-Qi
College of Information Engineering, Xiangtan University, Xiangtan 411105

Download: PDF (711 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  

By using reference points and angle values, decision maker's preferences are introduced into ε-multi-objective evolutionary algorithm(ε-MOEA). The objective space is divided into preference area and non-preference area by the preferences. Moreover, an angle preference based ε-Pareto dominance strategy is presented. It establishes a strict partial order relation to distinguish the preference solutions and non-preference solutions among non-dominated solutions. To demonstrate the effectiveness of the proposed strategy, it is integrated into ε-MOEA,and thus ε-Pareto dominance strategy based on angle preference in MOEA(AP-ε-MOEA) is put forward . The comparative experiments of AP-ε-MOEA, g-dominance and r-dominance show that AP-ε-MOEA can converge to Pareto optimal front with a higher speed and meanwhile meet the decision maker′s preferences.

Key wordsMulti-objective Evolutionary Algorithm(MOEA)      Multi-objective Optimization      Dominance Relation      Preference     
Received: 28 December 2012     
ZTFLH: TP 181  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
ZHENG Jin-Hua
LAI Nian
GUO Guan-Qi
Cite this article:   
ZHENG Jin-Hua,LAI Nian,GUO Guan-Qi. ε-Pareto Dominance Strategy Based on Angle Preference in MOEA[J]. , 2014, 27(6): 569-576.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2014/V27/I6/569
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn