Abstract
In this work we discuss to what extent and in what contexts the use of knowledge discovery techniques can improve the performance of cooperative strategies for optimization. The study is approached over two different cases study that differs in terms of the definition of the initial cooperative strategy, the problem chosen as test bed (Uncapacitated Single Allocation p HubMedian and knapsack problems) and the number of instances available for applying data mining. The results obtained show that this techniques can lead to an improvement of the cooperatives strategies as long as the application context fulfils certain characteristics.
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Masegosa, A.D., Muñoz, E., Pelta, D., Cadenas, J.M. (2010). Using Knowledge Discovery in Cooperative Strategies: Two Case Studies. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Studies in Computational Intelligence, vol 284. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12538-6_3
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DOI: https://doi.org/10.1007/978-3-642-12538-6_3
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