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Analyses of inverted generational distance for many-objective optimisation algorithms

文献类型：期刊论文

作者Cai, Xingjuan1; Zhang, Maoqing2; Wang, Hui3; Xu, Meng4; Chen, Jinjun5; Zhang, Wensheng6
刊名INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
出版日期2019
卷号14期号:1页码:62-68
关键词inverted generational distance IGD generational distance many-objective optimisation algorithm mathematical analyses
ISSN号1758-0366
通讯作者Zhang, Maoqing(maoqing_zhang@163.com)
英文摘要Inverted generational distance is a widely used indicator for evaluating many-objective optimisation algorithms. In the past several years, numerous researchers have paid much attention to the improvement of many-objective optimisation algorithms, while few researchers have mathematically analysed inverted generational distance. In this paper, we present detailed mathematical analyses of inverted generational distance, and then reveal the relation between generational distance and inverted generational distance. The conclusion is drawn that convergence plays different roles in different stages. Experimental results on seven many-objective benchmark problems verify our analyses.
WOS关键词PERFORMANCE
资助项目National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61663028] ; National Natural Science Foundation of China[51775385] ; National Natural Science Foundation of China[61703279] ; Natural Science Foundation of Shanxi Province[201801D121127] ; Scientific and Technological innovation Team of Shanxi Province[201805D131007] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000482130100004
出版者INDERSCIENCE ENTERPRISES LTD
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; Scientific and Technological innovation Team of Shanxi Province ; PhD Research Startup Foundation of Taiyuan University of Science and Technology
源URL[http://ir.ia.ac.cn/handle/173211/27556]  
专题精密感知与控制研究中心_人工智能与机器学习
通讯作者Zhang, Maoqing
作者单位1.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China
2.Tongji Univ, Dept Control Sci & Engn, Shanghai 201804, Peoples R China
3.Nanchang Inst Technol, Sch Informat Engn, Nanchang 330099, Jiangxi, Peoples R China
4.Beijing Univ Technol, Informat Fac, Beijing 100124, Peoples R China
5.Swinburne Univ Technol, Dept Comp Sci & Software Engn, Melbourne, Vic 3000, Australia
6.Chinese Acad Sci, State Key Lab Intelligent Control & Management Co, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Cai, Xingjuan,Zhang, Maoqing,Wang, Hui,et al. Analyses of inverted generational distance for many-objective optimisation algorithms[J]. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,2019,14(1):62-68.
APA Cai, Xingjuan,Zhang, Maoqing,Wang, Hui,Xu, Meng,Chen, Jinjun,&Zhang, Wensheng.(2019).Analyses of inverted generational distance for many-objective optimisation algorithms.INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,14(1),62-68.
MLA Cai, Xingjuan,et al."Analyses of inverted generational distance for many-objective optimisation algorithms".INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 14.1(2019):62-68.

入库方式： OAI收割

来源：自动化研究所

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