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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Brownlee, Alexander
Wu, Yanghui
McCall, John
Godley, Paul Michael
Cairns, David
Cowie, Julie
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Title: Optimisation and Fitness Modelling of Bio-control in Mushroom Farming Using a Markov Network EDA
Editor(s): Keijzer, Maarten
Citation: Brownlee A, Wu Y, McCall J, Godley PM, Cairns D & Cowie J (2008) Optimisation and Fitness Modelling of Bio-control in Mushroom Farming Using a Markov Network EDA In: Keijzer M (ed.) Proceedings of the 10th annual conference on Genetic and evolutionary computation, (GECCO-2008). Genetic and Evolutionary Computation Conference, GECCO-2008, New York, 12.07.2008-16.07.2008. New York: Association for Computing Machinery (ACM), pp. 465-466.
Issue Date: 2008
Conference Name: Genetic and Evolutionary Computation Conference, GECCO-2008
Conference Dates: 2008-07-12 - 2008-07-16
Conference Location: Atlanta, Georgia
Abstract: We explore the application of an Estimation of Distribution Algorithm which uses a Markov Network to the problem of bio-control in mushroom farming. This falls into the category of “bang-bang control” problems and was previously used as an application for genetic algorithms with modified crossover operators. The EDA yields a small improvement in the solutions that are evolved. Moreover, the probabilistic models constructed closely match identifiable features in the underlying dynamics of the problem. We conclude that this is a useful by-product of the probabilistic modelling which can be further exploited. probabilistic model learned by DEUM. We will describe how a clear relationship can be drawn between probabilistic model and the underlying shape of the problem.
Status: VoR - Version of Record
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