By the same authors

A Markov chain model of the B-cell algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Publication details

Title of host publicationARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS
DatePublished - 2005
Pages318-330
Number of pages13
PublisherSPRINGER-VERLAG BERLIN
Place of PublicationBERLIN
EditorsC Jacob, ML Pilat, PJ Bentley, J Timmis
Original languageEnglish
ISBN (Print)3-540-28175-4

Abstract

An exact Markov chain model of the B-cell algorithm (BCA) is constructed via a novel possible transit method. The model is used to formulate a proof that the BCA is convergent absolute under a very broad set of conditions. Results from a simple numerical example are presented, we use this to demonstrate how the model can be applied to increase understanding of the performance of the BCA in optimizing function landscapes as well as giving insight into the optimal parameter settings for the BCA.

    Research areas

  • HYPERMUTATION, OPTIMIZATION

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