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题名

Improving 1by1EA to Handle Various Shapes of Pareto Fronts

作者
通讯作者Nojima, Yusuke
DOI
发表日期
2018
ISSN
16113349
EISSN
1611-3349
会议录名称
卷号
11101
页码
311-322
会议地点
Coimbra, Portugal
出版地
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者
摘要
1by1EA is a competitive method among existing many-objective evolutionary algorithms. However, we find that it may fail to find boundary solutions depending on the Pareto front shape. In this study, we present an improved version of 1by1EA, named 1by1EA-II, to enhance the flexibility in handling various shapes of Pareto fronts. In 1by1EA-II, the Chebyshev distances from a solution to the nadir and ideal points are alternately employed as two convergence indicators. Using the first convergence indicator, boundary solutions are preferred for a wide spread in the objective space. With the other convergence indicator, non-boundary solutions are preferred to promote diversity. We empirically compare the proposed 1by1EA-II with its original version as well as four other state-of-the-art algorithms on DTLZ and Minus-DTLZ test problems. The results show that 1by1EA-II is the most flexible algorithm.
关键词
学校署名
其他
语种
英语
相关链接[来源记录]
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资助项目
Science and Technology Innovation Committee Foundation of Shenzhen[ZDSYS201703031748284]
WOS研究方向
Computer Science ; Engineering
WOS类目
Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号
WOS:000458557700025
EI入藏号
20183905853374
EI主题词
Evolutionary algorithms
EI分类号
Artificial Intelligence:723.4
来源库
Web of Science
引用统计
被引频次[WOS]:3
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/24674
专题工学院_计算机科学与工程系
作者单位
1.Osaka Prefecture Univ, Grad Sch Engn, Dept Comp Sci & Intelligent Syst, Sakai, Osaka 5998531, Japan
2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yiping,Ishibuchi, Hisao,Nojima, Yusuke,et al. Improving 1by1EA to Handle Various Shapes of Pareto Fronts[C]. GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG,2018:311-322.
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