RMIT University
Browse

A multi-objective constraint-handling method with PSO algorithm for constrained engineering optimization problems

Download (6.95 MB)
conference contribution
posted on 2024-10-30, 22:31 authored by Lily Li, Xiaodong LiXiaodong Li, Xinghuo YuXinghuo Yu
This paper presents a multi-objective constraint handling method incorporating the particle swarm optimization (PSO) algorithm. The proposed approach adopts a concept of Pareto domination from multi-objective optimization, and uses a few selection rules to determine particlespsila behaviors to guide the search direction. A goal-oriented programming concept is adopted to improve efficiency. Diversity is maintained by perturbing particles with a small probability. The simulation results on the three engineering benchmark problems demonstrate the proposed approach is highly competitive.

History

Start page

1528

End page

1535

Total pages

8

Outlet

2008 IEEE World Congress on Computational Intelligence

Editors

Z. Michalewicz

Name of conference

2008 IEEE World Congress on Computational Intelligence

Publisher

IEEE

Place published

Piscataway, USA

Start date

2008-06-01

End date

2008-06-06

Language

English

Copyright

© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Former Identifier

2006009455

Esploro creation date

2020-06-22

Fedora creation date

2010-01-04

Open access

  • Yes

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC