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Hybrid Variable Neighborhood and Simulated Annealing Heuristic Algorithm to Solve RCPSP

Authors :
Juan Carlos Rivera
Ana Josefina Celín
Source :
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 56 (2013)
Publication Year :
2013
Publisher :
Universidad de Antioquia, 2013.

Abstract

This paper presents a hybrid heuristic algorithm for solving the Resource Constrained Project Scheduling Problem (RCPSP). The algorithm designed combines elements of Simulated Annealing and Variable Neighborhood Search. Additionally, it uses the method called Justification, which is a method designed specifically for the RCPSP. To evaluate the performance of the algorithm, a statistical analysis for tuning the parameters has done. The results were compared with those reported in the scientific literature.

Details

Language :
English
ISSN :
01206230 and 24222844
Issue :
56
Database :
Directory of Open Access Journals
Journal :
Revista Facultad de Ingeniería Universidad de Antioquia
Publication Type :
Academic Journal
Accession number :
edsdoj.6f9dc13e2d794de9af77a3e71563913d
Document Type :
article
Full Text :
https://doi.org/10.17533/udea.redin.14675