A mixed-coding scheme of evolutionary algorithms to solve mixed-integer nonlinear programming problems

In this paper, mixed-integer hybrid differential evolution (MIHDE) is developed to deal with the mixed-integer optimization problems. This hybrid algorithm contains the migration operation to avoid candidate individuals clustering together. We introduce the population diversity measure to inspect wh...

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Bibliographic Details

Published in:	Computers & mathematics with applications (1987) Vol. 47; no. 8; pp. 1295 - 1307
Main Authors:	Lin, Yung-Chien, Hwang, Kao-Shing, Wang, Feng-Sheng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2004
Subjects:	Differential evolution Evolutionary algorithms Genetic algorithms Hybrid method Mixed-integer nonlinear programming Differential evolution Hybrid method Evolutionary algorithms Mixed-integer nonlinear programming Genetic algorithms
ISSN:	0898-1221, 1873-7668
Online Access:	Get full text
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