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http://hdl.handle.net/1893/2445| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Peer Review Status: | Refereed |
| Author(s): | Wu, Yanghui McCall, John Godley, Paul Michael Brownlee, Alexander Cairns, David |
| Contact Email: | dec@cs.stir.ac.uk |
| Title: | Bio-control in Mushroom Farming Using a Markov Network EDA |
| Citation: | Wu Y, McCall J, Godley PM, Brownlee A & Cairns D (2008) Bio-control in Mushroom Farming Using a Markov Network EDA. In: IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence) IEEE Congress on Evolutionary Computation 2008, CEC 2008, (IEEE World Congress on Computational Intelligence), Hong Kong, 01.06.2008-06.06.2008. Hoboken, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 2991-2996. https://doi.org/10.1109/CEC.2008.4631201 |
| Issue Date: | 2008 |
| Date Deposited: | 11-Oct-2010 |
| Conference Name: | IEEE Congress on Evolutionary Computation 2008, CEC 2008, (IEEE World Congress on Computational Intelligence) |
| Conference Dates: | 2008-06-01 - 2008-06-06 |
| Conference Location: | Hong Kong |
| Abstract: | In this paper we present an application of an Estimation of Distribution Algorithm (EDA) that uses a Markov network probabilistic model. The application is to the problem of bio-control in mushroom farming, a domain which admits bang-bang-control solutions. The problem is multi- objective and uses a weighted fitness function. Previous work on this problem has applied genetic algorithms (GA) with directed intervention crossover schemes aimed at effective biocontrol at an efficient level of intervention. Here we compare these approaches with the EDA Distribution Estimation Using Markov networks (DEUMd). DEUMd constructs a probabilistic model using Markov networks. Our experiments compare the quality of solutions produced by DEUMd with the GA approaches and also reveal interesting differences in the search dynamics that have implications for algorithm design. |
| Status: | AM - Accepted Manuscript |
| Rights: | Published in IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence. Copyright: Institute of Electrical and Electronics Engineers (IEEE).; The publisher has not responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study. |
| Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
| File | Description | Size | Format | |
|---|---|---|---|---|
| YW_CEC2008_final.pdf | Fulltext - Accepted Version | 205.07 kB | Adobe PDF | Under Embargo until 3000-12-01 Request a copy |
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