The role of e-dominance in Multi-Objective Particle Swarm Optimization Methods

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Mostaghim S, Teich J
Publisher: IEEE Computer Society
Publication year: 2003
Title of series: The role of e-dominance in Multi-Objective Particle Swarm Optimization Methods
Conference Proceedings Title: Proceedings of the Congress on Evolutionary Computation (CEC'03)
Pages range: 1764-1771


Abstract


In this paper, the influence of ε-dominance on multi-objective particle swarm optimization (MOPSO) methods is studied. The most important role of ε-dominance is to bound the number of non-dominated solutions stored in the archive (archive size), which has influences on computational time, convergence and diversity of solutions. Here, ε-dominance is compared with the existing clustering technique for fixing the archive size and the solutions are compared in terms of computational time, convergence and diversity. A new diversity metric is also suggested. The results show that the ε-dominance method can find solutions much faster than the clustering technique with comparable and even in some cases better convergence and diversity. © 2003 IEEE.



FAU Authors / FAU Editors

Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


External institutions with authors

Universität Paderborn


How to cite

APA:
Mostaghim, S., & Teich, J. (2003). The role of e-dominance in Multi-Objective Particle Swarm Optimization Methods. In Proceedings of the Congress on Evolutionary Computation (CEC'03) (pp. 1764-1771). Canberra, AU: IEEE Computer Society.

MLA:
Mostaghim, Sanaz, and Jürgen Teich. "The role of e-dominance in Multi-Objective Particle Swarm Optimization Methods." Proceedings of the 2003 Congress on Evolutionary Computation, CEC 2003, Canberra IEEE Computer Society, 2003. 1764-1771.

BibTeX: 

Last updated on 2018-03-11 at 13:50