A comparative study of local search within a surrogate-assisted multi-objective memetic algorithm framework for expensive problems

Attainment surfaces of the solutions with best (left) and worst (right) IGD values for various algorithms on UF1 problem. [Display omitted] •We studied the effect of local search on multi-objective memetic algorithm.•The base algorithm is single surrogate-based multi-objective memetic algorithm.•We...

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Bibliographic Details
Published in:	Applied soft computing Vol. 43; pp. 1 - 19
Main Authors:	Palar, Pramudita Satria, Tsuchiya, Takeshi, Parks, Geoffrey Thomas
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2016
Subjects:	Expensive problems Local search Local surrogate Memetic algorithm Multi-objective Memetic algorithm Local search Multi-objective Local surrogate Expensive problems
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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