Abstract
Formulations for fuzzy and possibilistic optimization abound in the literature, but few are implemented in practice. This paper investigates the theory, semantics, and efficacy of a selection of significant fuzzy and possibilistic optimization algorithms via their application to a well-known large-scale problem: the radiation therapy planning problem. The algorithms are compared, critiqued, and organized with the following objective in mind: to guide a decision maker in the selection and implementation of a fuzzy or possibilistic optimization algorithm. © Springer-Verlag Berlin Heidelberg 2007.
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Untiedt, E., & Lodwick, W. (2007). On selecting an algorithm for fuzzy optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4529 LNAI, pp. 371–380). Springer Verlag. https://doi.org/10.1007/978-3-540-72950-1_37
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