On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm

•We propose an on-line Pareto front shape estimation strategy for adaptive selection. We use achievement scalarizing function to locate the pivotal point, which can best characterize the curvature of Pareto front. Then the curvature of Pareto front can be approximately obtained according to the rati...

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Bibliographic Details
Published in:	Information sciences Vol. 563; pp. 375 - 400
Main Authors:	Li, Li, Yen, Gary G., Sahoo, Avimanyu, Chang, Liang, Gu, Tianlong
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2021
Subjects:	Achievement scalarizing function Angle-based selection Decomposition Evolutionary algorithm Many-objective optimization Pareto front curvature Reference vector Similarity Similarity Reference vector Evolutionary algorithm Achievement scalarizing function Decomposition Many-objective optimization Pareto front curvature Angle-based selection
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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