Hybrid simulation-optimization methods: A taxonomy and discussion

作者:Figueira Goncalo*; Almada Lobo Bernardo
来源:Simulation Modelling Practice and Theory, 2014, 46: 118-134.
DOI:10.1016/j.simpat.2014.03.007

摘要

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.

  • 出版日期2014-8