SIMPLE GENETIC ALGORITHM WITH LOCAL TUNING - EFFICIENT GLOBAL OPTIMIZING TECHNIQUE

Authors
YANG R DOUGLAS I
Citation
R. Yang et I. Douglas, SIMPLE GENETIC ALGORITHM WITH LOCAL TUNING - EFFICIENT GLOBAL OPTIMIZING TECHNIQUE, Journal of optimization theory and applications, 98(2), 1998, pp. 449-465
Citations number
17
Categorie Soggetti
Operatione Research & Management Science",Mathematics,"Operatione Research & Management Science
Journal title
Journal of optimization theory and applications → ACNP
ISSN journal
00223239
Volume
98
Issue
2
Year of publication
1998
Pages
449 - 465
Database
ISI
SICI code
0022-3239(1998)98:2<449:SGAWLT>2.0.ZU;2-M
Abstract
Genetic algorithms are known to be efficient for global optimizing. Ho wever, they are not well suited to perform finely-tuned local searches and are prone to converge prematurely before the best solution has be en found. This paper uses genetic diversity measurements to prevent pr emature convergence and a hybridizing genetic algorithm with simplex d ownhill method to speed up convergence. Three case studies show the pr ocedure to be efficient, tough, and robust.