Abstract
Although fuzzy quadratic programming problems are of the utmost importance in an increasing variety of practical fields, there are remaining technological areas in which has not been tested their applicability or, if tried, have been little studied possibilities. This may be the case of Renewable Energy Assessment, Service Quality, Technology Foresight, Logistics, Systems Biology, etc. With this in mind, the goal of this paper is to apply a parametric approach previously developed by authors to solve some of these problems, specifically the portfolio selection problem by using BM&FBOVESPA data of some Brazilian securities and the economic dispatch problem, which schedules a power generation in an appropriate manner in order to satisfy the load demand.
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Cruz, C., Silva, R.C., Verdegay, J.L. (2012). Solving Real-World Fuzzy Quadratic Programming Problems by a Parametric Method. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31718-7_11
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DOI: https://doi.org/10.1007/978-3-642-31718-7_11
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