On decomposition methods in interactive user-preference based optimization

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• 作者：Jinhua Zheng^b ; ^a ; ^{jhzheng@xtu.edu.cn} ; Guo Yu^a ; ^{yuguo0801@126.com} ; Qiaofeng Zhu^c ; ^{lursonkj@gmail.com} ; Xiaodong Li^d ; ^{xiaodong.li@rmit.edu.au} ; Juan Zou^a ; ^{zoujuan@xtu.edu.cn}
• 关键词：Optimization ; Interactive multi-objective method ; MOEA/D ; ROI
• 刊名：Applied Soft Computing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：52
• 期：Complete
• 页码：952-973
• 全文大小：9643 K
• 卷排序：52

文摘

A model how to combine preference information and the framework of MOEA/D. A new way of generating weight vectors with preference information. Use the ASF function into MOEA/D to reflect preference information. The proposed approaches could deal with many-objective problems well. The desired solutions can be found in different ROIs interactively.