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Adaptive Scaling of Evolvable Systems

By Simon P. Hammond

Abstract

e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. Neo-Darwinian evolution is an established natural inspiration for computational op-timisation with a diverse range of forms. A particular feature of models such as Genetic Algorithms (GA) [18, 12] is the incremental combination of partial solutions distributed within a population of solutions. This mechanism in principle allows cer-tain problems to be solved which would not be amenable to a simple local search

Year: 2007
OAI identifier: oai:CiteSeerX.psu:10.1.1.140.4386
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