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- Title
APLICACIÓN DEL MÉTODO DE SELECCIÓN DEL MEJOR SUBCONJUNTO EN PROBLEMAS DE OPTIMIZACIÓN MEDIANTE SIMULACIÓN.
- Authors
Ochoa Buitrago, Sergio Daniel; Amaya Guio, Ciro Alberto
- Abstract
There are many algorithms and methods used in order to optimize systems using simulation procedures. These methods involve local search algorithms and solution space exploration methods, and additional costing stages. The main objective of these procedures is to obtain the best configuration in order to maximize the system performance. However, solutions must be analyzed through expertise and criteria of decision makers, and obtaining a set of possible solutions instead of only one is more valuable. An entire methodology was developed based on sensitivity analysis of input parameters and sample sizes in order to obtain a subset of very good alternatives from a big set of possible scenarios. As an additional sensitivity analysis, an experiment of the effect of Common Random Numbers (CRN) in the selection method performance was conducted. The selection method used on this work (Best Subset Selection - BSS) was compared to other with similarspecifications (Selection of the best - NSGS) obtaining higher performance results. As a result of the suggested methodology, there will be at the final set a few high competitive alternatives that could significantly improve system performance.
- Subjects
MATHEMATICAL optimization; SIMULATION methods &; models; SEARCH algorithms; CONFIGURATION management; EXPERIMENTAL design
- Publication
Revista Ingeniería Industrial, 2014, Vol 13, Issue 1, p7
- ISSN
0717-9103
- Publication type
Article