Parallel population-based algorithm portfolios: An empirical study

Although many algorithms have been proposed, no single algorithm is better than others on all types of problems. Therefore, the search characteristics of different algorithms that show complementary behavior can be combined through portfolio structures to improve the performance on a wider set of pr...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 247; pp. 115 - 125
Main Authors:	Akay, Rustu, Basturk, Alper, Kalinli, Adem, Yao, Xin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 19.07.2017
Subjects:	Algorithm portfolios Global optimization Neural networks parallel computing Algorithm portfolios Global optimization Neural networks parallel computing
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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