DocumentCode :
3724257
Title :
Difficulty Controllable and Scalable Constrained Multi-objective Test Problems
Author :
Zhun Fan;Wenji Li;Xinye Cai;Hui Li;Kaiwen Hu;Haibin Yin
Author_Institution :
Dept. of Electron. Eng., Shantou Univ., Shantou, China
fYear :
2015
Firstpage :
76
Lastpage :
83
Abstract :
In this paper, we propose a general toolkit to construct constrained multi-objective optimisation problems (CMOPs) with three different kinds of constraint functions. Based on this toolkit, we suggested eight constrained multi-objective optimisation problems named CMOP1-CMOP8. As the ratio of feasible regions in the whole search space determines the difficulty of a constrained multi-objective optimisation problem, we propose four test instances CMOP3-6, which have very low ratio of feasible regions. To study the difficulties of proposed test instances, we make some experiments with two popular CMOEAs - MOEA/D-CDP and NSGA-II-CDP, and analysed their performances.
Keywords :
"Shape","Linear programming","Pareto optimization","Aerospace electronics","Evolutionary computation","Computer science"
Publisher :
ieee
Conference_Titel :
Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICIICII.2015.105
Filename :
7373793
Link To Document :
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