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- Publisher
- Springer Journals
- Copyright
- Copyright © 1999 by Springer-Verlag Singapore Pte. Ltd.
- Subject
- Computer Science; Information Systems and Communication Service; Business Information Systems
- ISSN
- 0219-1377
- eISSN
- 0219-3116
- DOI
- 10.1007/BF03325101
- Publisher site
- See Article on Publisher Site
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 with its advantages and disadvantages, its degree of applicability and some of its known applications. Finally, the future trends in this discipline and some of the open areas of research are also addressed.
Journal
Knowledge and Information Systems – Springer Journals
Published: Jul 13, 2013