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Chasing Chaos

Kelsey, Johnny and Timmis, Jon and Hone, Andrew N.W. (2003) Chasing Chaos. In: Sarker, Ruhul Amin and Reynolds, R. and Abbass, Hussein Aly and Kay-Chen, T. and McKay, R. and Essam, D. and Gedeon, T., eds. The 2003 Congress on Evolutionary Computation. IEEE, pp. 413-419. ISBN 0-7803-7804-0. (doi:10.1109/CEC.2003.1299605) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13864)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/CEC.2003.1299605

Abstract

Both simple and hybrid genetic algorithms encounter difficulties when presented with a function which has multiple values. Similarly, changing environments or functions which change rapidly present other problems. This paper presents an algorithm that is capable of coping with both of these scenarios: it can accommodate multiple solutions simultaneously and can track changes in optima efficiently. The proposed B-cell algorithm is inspired by the natural immune system, which itself displays similar capabilities of tracking multiple, moving targets in the form of infectious agents. This paper employs two nonlinear mappings which display chaotic behaviour to demonstrate the effectiveness of the B-cell algorithm in tracking multiple, moving targets. A number of experiments are conducted and results reported from the B-cell algorithm and standard hybrid genetic algorithm approaches. These results show the benefit of the B-cell algorithm approach when compared against these heuristic approaches.

Item Type: Book section
DOI/Identification number: 10.1109/CEC.2003.1299605
Uncontrolled keywords: chaos; immune system; genetic algorithms; target tracking; laboratories; mathematics; statistics; displays; pathogens; biology computing
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Andrew Hone
Date Deposited: 24 Nov 2008 18:00 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13864 (The current URI for this page, for reference purposes)
Hone, Andrew N.W.: https://orcid.org/0000-0001-9780-7369
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