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A Comment on opt-AINet: An Immune Network Algorithm for Optimisation

Timmis, Jon and Edmonds, Camilla (2004) A Comment on opt-AINet: An Immune Network Algorithm for Optimisation. In: Kalyanmoy, D., ed. Genetic and Evolutionary Computation – GECCO 2004 Genetic and Evolutionary Computation Conference. Lecture Notes in Computer Science, 1 . Springer, Berlin, Germany, pp. 308-317. ISBN 978-3-540-22344-3. E-ISBN 978-3-540-24854-5. (doi:10.1007/978-3-540-24854-5_32) (KAR id:14129)

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http://dx.doi.org/10.1007/978-3-540-24854-5_32

Abstract

Verifying the published results of algorithms is part of the usual research process. This helps to both validate the existing literature, but also quite often allows for new insights and augmentations of current systems in a methodological manner. This is very pertinent in emerging new areas such as Artificial Immune Systems, where it is essential that any algorithm is well understood and investigated. The work presented in this paper results from an investigation into the opt-aiNET algorithm, a well-known immune inspired algorithm for function optimisation. Using the original source code developed for opt-aiNET, this paper identifies two minor errors within the code, propose a slight augmentation of the algorithm to automate the process of peak identification: all of which affect the performance of the algorithm. Results are presented for testing of the existing algorithm and in addition, for a slightly modified version, which takes into account some of the issues discovered during the investigations.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-540-24854-5_32
Uncontrolled keywords: artificial immune systems, optimisation
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: Mark Wheadon
Date Deposited: 24 Nov 2008 18:02 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14129 (The current URI for this page, for reference purposes)
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