Please use this identifier to cite or link to this item:
http://hdl.handle.net/1822/19141| Title: | An elitist genetic algorithm for multiobjective optimization |
| Author(s): | Costa, L. Oliveira, P. N. |
| Keywords: | Genetic algorithms Multiobjective optimization Elitism |
| Issue date: | 2004 |
| Publisher: | Kluwer |
| Journal: | Applied Optimization |
| Abstract(s): | Solving multiobjective engineering problems is, in general, a difficult task. In spite of the success of many approaches, elitism has emerged has an effective way of improving the performance of algorithms. In this paper, a new elitist scheme, by which it is possible to control the size of the elite population, as well as the concentration of points in the approximation to the Pareto-optimal set, is introduced. This new scheme is tested on several multiobjective problems and, it proves to lead to a good compromise between computational time and size of the elite population. |
| Type: | Conference paper |
| URI: | http://hdl.handle.net/1822/19141 |
| ISBN: | 1-4020-7653-3 |
| ISSN: | 1384-6485 |
| Peer-Reviewed: | yes |
| Access: | Restricted access (UMinho) |
| Appears in Collections: |
