NONLINEAR NUMERICAL OPTIMIZATION WITH USE OF A HYBRID GENETIC ALGORITHM INCORPORATING THE MODIFIED POWELL METHOD

Authors
OKAMOTO M NONAKA T OCHIAI S TOMINAGA D
Citation
M. Okamoto et al., NONLINEAR NUMERICAL OPTIMIZATION WITH USE OF A HYBRID GENETIC ALGORITHM INCORPORATING THE MODIFIED POWELL METHOD, Applied mathematics and computation, 91(1), 1998, pp. 63-72
Citations number
8
Categorie Soggetti
Mathematics,Mathematics
Journal title
Applied mathematics and computation → ACNP
ISSN journal
00963003
Volume
91
Issue
1
Year of publication
1998
Pages
63 - 72
Database
ISI
SICI code
0096-3003(1998)91:1<63:NNOWUO>2.0.ZU;2-S
Abstract
We propose the hybrid numerical optimization technique which incorpora tes the Genetic Algorithm (GA) into the Modified Powell method. Escapi ng from trapping in the local minimum, this procedure can seek out the global minimum with considerably fast convergence. The effectiveness was shown especially for the minimum search problem of a variable-sepa rable multi peak (bottom) function having over 20 000 local minima wit hin the parameter searching region. (C) 1998 Elsevier Science Inc. All rights reserved.