An evolutionary programming algorithm for multi-objective optimisation

Lewis, A; Abramson, D

doi:10.1109/CEC.2003.1299909

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Author(s)

Lewis, A

Abramson, D

Griffith University Author(s)

Lewis, Andrew J.

Year published

2003

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Abstract

This paper describes a new evolutionary programming optimisation algorithm and a method of its application to multi-objective optimization problems. Computational results are presented demonstrating the algorithm's ability to find Pareto-optimal solutions for a real-world problem in radio frequency component design.This paper describes a new evolutionary programming optimisation algorithm and a method of its application to multi-objective optimization problems. Computational results are presented demonstrating the algorithm's ability to find Pareto-optimal solutions for a real-world problem in radio frequency component design.
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Conference Title

CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS

Volume

DOI

https://doi.org/10.1109/CEC.2003.1299909

Copyright Statement

© 2003 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.

Publication URI

http://hdl.handle.net/10072/1766

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Conference outputs