Title
Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda
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.
Year
DOI
Venue
2008
10.1145/1389095.1389180
GECCO
Keywords
Field
DocType
markov network eda,modified crossover operator,bang-bang control,probabilistic model,probabilistic modelling,small improvement,genetic algorithm,identifiable feature,mushroom farming,markov network,distribution algorithm,optimal control,estimation of distribution algorithm,eda,bang bang control,estimation of distribution algorithms
Mathematical optimization,Crossover,Optimal control,Estimation of distribution algorithm,Computer science,Markov chain,Probabilistic analysis of algorithms,Operator (computer programming),Artificial intelligence,Probabilistic logic,Genetic algorithm,Machine learning
Conference
Citations 
PageRank 
References 
3
0.43
4
Authors
6
Name
Order
Citations
PageRank
Alexander E.I. Brownlee114418.46
Yanghui Wu2282.36
John McCall314817.36
Paul M. Godley481.71
David E. Cairns5355.23
Julie Cowie6415.46