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Title: Hybrid simulation-optimization methods: A taxonomy and discussion
Authors: Gonçalo Reis Figueira
Bernardo Almada-Lobo
Issue Date: 2014
Abstract: The possibilities of combining simulation and optimization are vast and the appropriate design highly depends on the problem characteristics. Therefore, it is very important to have a good overview of the different approaches. The taxonomies and classifications proposed in the literature do not cover the complete range of methods and overlook some important criteria. We provide a taxonomy that aims at giving an overview of the full spectrum of current simulation-optimization approaches. Our study may guide researchers who want to use one of the existing methods, give insights into the cross-fertilization of the ideas applied in those methods and create a standard for a better communication in the scientific community. Future reviews can use the taxonomy here described to classify both general approaches and methods for specific application fields.
metadata.dc.type: article
Appears in Collections:CEGI - Articles in International Journals

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