Open AccessOPTIMIZATION VIA SIMULATION: SOLUTION CONCEPTS, ALGORITHMS, PARALLELCOMPUTING STRATEGIES AND COMMERCIAL SOFTWARE
Author(s) -
Gianpaolo Ghiani,
Pasquale Legato,
Roberto Musmanno,
Francesca Vocaturo
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.3.3.299
Subject(s) - computer science , software , field (mathematics) , simulation software , optimization algorithm , optimization problem , mathematical optimization , stochastic simulation , stochastic optimization , discrete optimization , management science , algorithm , mathematics , engineering , statistics , pure mathematics , programming language
Simulation optimization (or optimization via simulation) is defined as the optimization of performance measures based on outputs from stochastic simulations. Although several articles on this topic have been published, the literature on optimization via simulation is still in its infancy. In this paper the research in this field is reviewed and some issues that have not received attention so far are highlighted. In particular, a survey of solution methodologies is presented, followed by a critical review of parallel computing strategies and commercial software packages. A particular emphasis is put on problems with discrete decision variables.