School of Computing

An artificial immune network for multimodal optimisation

L.N de Castro and J Timmis

In 2002 Congress on Evolutionary Computation. Part of the 2002 IEEE World Congress on Computational Intelligence., pages 182-196, Honolulu, Hawaii, USA, May 2002. IEEE.

Abstract

This paper presents the adaptation of an immune network model, originally proposed to perform information compression and data clustering, to solve multimodal function optimization problems. The algorithm is described, theoretically and empirically compared with similar approaches from the literature. The main features of the algorithm are automatic determination of the population size, combination of local with global search (exploitation plus exploration of the fitness landscape), defined convergence criterion, and capability of maintaining stable local optima solutions.



Bibtex Record

@inproceedings{1374,
author = {de Castro, L.N and Timmis, J},
title = {An Artificial Immune Network for Multimodal Optimisation},
month = {May},
year = {2002},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2002/1374},
    publication_type = {inproceedings},
    submission_id = {5205_1021970777},
    ISBN = {0780372816},
    booktitle = {2002 Congress on Evolutionary Computation. Part of the 2002 IEEE World Congress on Computational Intelligence.},
    address = {Honolulu, Hawaii, USA},
    publisher = {IEEE},
    refereed = {Yes},
}

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 21/03/2014