Hybrid simulation-optimization methods: A taxonomy and discussion

• Type: Article in International Scientific Journal
• Date: 2014

Authors

Gonçalo Figueira (Author) FEUP; Bernardo Almada Lobo (Author) FEUP

Journal

Title: Simulation Modelling Practice and Theory

Vol. 46

Pages: 118-134

ISSN: 1569-190X

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 87 Citations

ISI Web of Science

Scopus - 128 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences

Other information

Authenticus ID: P-009-JHN

DOI: 10.1016/j.simpat.2014.03.007

Resumo (PT): 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.

Abstract (EN): 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. (C) 2014 Elsevier B.V. All rights reserved.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17