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Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/6121
Title: A hybrid algorithm combining metaheuristic with Monte Carlo simulation for solving the Stochastic Flow Shop problem
Autor: Peruyero Bernardo, Esteban
Director: Juan Pérez, Ángel Alejandro
Riera i Terrén, Daniel
Otros: Universitat Oberta de Catalunya
Keywords: stochastic flow shop problem
metaheuristic
hybrid algorithms
Monte Carlo simulation
problema de flujos estocásticos en el comercio
Issue Date: Jan-2011
Editorial: Universitat Oberta de Catalunya
Type: Trabajo Final de Máster
Abstract: In this paper, a hybrid simulation-based algorithm is proposed for the Stochastic Flow Shop Problem. The main idea of the methodology is to transform the stochastic problem into a deterministic problem and then apply simulation to the latter. In order to achieve this goal, we rely on Monte Carlo Simulation and an adapted version of a deterministic heuristic. This approach aims to provide flexibility and simplicity due to the fact that it is not constrained by any previous assumption and relies in well-tested heuristics.
Language: eng
URI: http://hdl.handle.net/10609/6121
Appears in Collections:Bachelor thesis, research projects, etc.


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