DMCA
Population Set Based Global Optimization Algorithms: Some Modifications and Numerical Studies (2003)
Cached
Download Links
| Citations: | 23 - 3 self |
BibTeX
@MISC{Ali03populationset,
author = {M. M. Ali and A. Törn},
title = {Population Set Based Global Optimization Algorithms: Some Modifications and Numerical Studies},
year = {2003}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
This paper studies the e#ciency and robustness of some recent and well known population set based direct search global optimization methods such as Controlled Random Search, Di#erential Evolution, and the Genetic Algorithm. Some modifications are made to Di#erential Evolution and to the Genetic Algorithm to improve their e#ciency and robustness. All methods are tested on two sets of test problems, one composed of easy but commonly used problems and the other of a number of relatively di#cult problems. Keywords: Global Optimization, Direct Search Method, Controlled Random Search, Di#erential Evolution, Genetic Algorithm, Continuous Variable.
