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A simple and efficient multi-component algorithm for solving dynamic function optimisation problems

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conference contribution
posted on 2024-07-26, 14:40 authored by Irene MoserIrene Moser, T. Hendtlass
A new multi-phase multi-individual version of the Extremal Optimisation algorithm was devised for dynamic function optimisation. The algorithm was tested on the three standardised benchmark scenarios of the publicly available Moving Peaks (MP) problem and observed to outperform all numerical results of other algorithmic approaches currently available in the literature. Parts of the algorithm were subsequently tested on variations of the scenarios to establish the role of each algorithm component in solving the problem as well as its contribution to the overall result. The reasons for the algorithm's impressive performance on the particular problem instance are discussed and possible limitations to its wider applicability are identified.

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ISBN

1424413400

Journal title

2007 IEEE Congress on Evolutionary Computation, CEC 2007

Conference name

2007 IEEE Congress on Evolutionary Computation, CEC 2007

Pagination

7 pp

Publisher

IEEE

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Copyright © 2007 IEEE. Paper is reproduced in accordance with the copyright policy of the publisher. 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.

Language

eng

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