An adaptive sharing Elitist Evolution Strategy for multiobjective optimization

• Type: Article in International Scientific Journal
• Date: 2003

Authors

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

Journal

Title: Evolutionary Computation

Vol. 11

Pages: 417-438

ISSN: 1063-6560

Publisher: MIT Press

Indexing

ISI Web of Knowledge - 16 Citations

Scopus - 19 Citations

Other information

Authenticus ID: P-000-E87

DOI: 10.1162/106365603322519297

Abstract (EN): Almost all approaches to multiobjective optimization are based on Genetic Algorithms (GAs), and implementations based on Evolution Strategies (ESs) are very rare. Thus, it is crucial to investigate how ESs can be extended to multiobjective optimization, since they have, in the past, proven to be powerful single objective optimizers. In this paper,we present a new approach to multiobjective optimization, based on ESs. We call this approach the Multiobjective Elitist Evolution Strategy (MEES) as it incorporates sever-at mechanisms, like elitism, that improve its performance. When compared with other algorithms, MEES shows very promising results in terms of performance.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 22