A comparative study of constrained multi-objective evolutionary algorithms on constrained multi-objective optimization problems

Solving constrained multi-objective optimization problems is a difficult task, it needs to simultaneously optimize multiple conflicting objectives and a number of constraints. This paper first reviews a number of popular constrained multi-objective evolutionary algorithms (CMOEAs) and twenty-three w...

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Bibliographic Details

Published in:	2017 IEEE Congress on Evolutionary Computation (CEC) pp. 209 - 216
Main Authors:	Zhun Fan, Yi Fang, Wenji Li, Jiewei Lu, Xinye Cai, Caimin Wei
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 01.06.2017
Subjects:	Algorithm design and analysis Evolutionary computation Pareto optimization Sociology Sorting
Online Access:	Get full text
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