An elitist genetic algorithm for multiobjective optimization

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

Costa, L (Author) Other; oliveira, p (Author) Other

Conference proceedings International

Title: Metaheuristics: Computer Decision-Making

Pages: 217-+

Indexing

ISI Web of Knowledge - 6 Citations

Other information

Authenticus ID: P-000-D7S

DOI: 10.1007/978-1-4757-4137-7_10

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19