DMCA
A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques (1998)
| Venue: | Knowledge and Information Systems |
| Citations: | 286 - 22 self |
BibTeX
@ARTICLE{Coello98acomprehensive,
author = {Carlos A. Coello Coello},
title = {A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques},
journal = {Knowledge and Information Systems},
year = {1998},
volume = {1},
pages = {269--308}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
. This paper presents a critical review of the most important evolutionary-based multiobjective optimization techniques developed over the years, emphasizing the importance of analyzing their Operations Research roots as a way to motivate the development of new approaches that exploit the search capabilities of evolutionary algorithms. Each technique is briefly described mentioning its advantages and disadvantages, their degree of applicability and some of their known applications. Finally, the future trends in this discipline and some of the open areas of research are also addressed. Keywords: multiobjective optimization, multicriteria optimization, vector optimization, genetic algorithms, evolutionary algorithms, artificial intelligence. 1 Introduction Since the pioneer work of Rosenberg in the late 60s regarding the possibility of using genetic-based search to deal with multiple objectives, this new area of research (now called evolutionary multiobjective optimization) has grown c...
Keyphrases
evolutionary-based multiobjective optimization technique comprehensive survey evolutionary algorithm new area artificial intelligence evolutionary multiobjective optimization multicriteria optimization open area multiple objective critical review vector optimization search capability genetic algorithm multiobjective optimization operation research root new approach important evolutionary-based multiobjective optimization technique pioneer work genetic-based search late 60
