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 |
Author: | Peruyero Bernardo, Esteban |
Tutor: | Juan, Angel A. Riera Terrén, Daniel |
Others: | Universitat Oberta de Catalunya |
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. |
Keywords: | stochastic flow shop problem metaheuristic hybrid algorithms Monte Carlo simulation problema de flujos estocásticos en el comercio |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2011 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
eperuyeroTFM0111.pdf | Artículo final del trabajo | 309,71 kB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License