A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems

In this paper we propose a modification to the Simulated Annealing (SA) basic algorithm that includes an additional local search cycle after finishing every Metropolis cycle. The added search finishes when it improves the current solution or after a predefined number of tries. We applied the algorit...

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Autores principales: Gatica, Claudia Ruth, Esquivel, Susana Cecilia, Leguizamón, Guillermo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/31566
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id I19-R120-10915-31566
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Informática
unrestricted parallel identical machines scheduling problem
maximum tardiness
simulating annealing
Simulation
Scheduling
Benchmarks
spellingShingle Ciencias Informáticas
Informática
unrestricted parallel identical machines scheduling problem
maximum tardiness
simulating annealing
Simulation
Scheduling
Benchmarks
Gatica, Claudia Ruth
Esquivel, Susana Cecilia
Leguizamón, Guillermo
A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
topic_facet Ciencias Informáticas
Informática
unrestricted parallel identical machines scheduling problem
maximum tardiness
simulating annealing
Simulation
Scheduling
Benchmarks
description In this paper we propose a modification to the Simulated Annealing (SA) basic algorithm that includes an additional local search cycle after finishing every Metropolis cycle. The added search finishes when it improves the current solution or after a predefined number of tries. We applied the algorithm to minimize the Maximum Tardiness objective for the Unrestricted Parallel Identical Machines Scheduling Problem for which no benchmark have been found in the literature. In previous studies we found, by using Genetic Algorithms, solutions for some adapted instances corresponding to Weighted Tardiness problem taken from the OR-Library. The aim of this work is to find improved solutions (if possible) to be considered as the new benchmark values and make them available to the community interested in scheduling problems. Evidence of the improvement obtained with proposed approach is also provided.
format Objeto de conferencia
Objeto de conferencia
author Gatica, Claudia Ruth
Esquivel, Susana Cecilia
Leguizamón, Guillermo
author_facet Gatica, Claudia Ruth
Esquivel, Susana Cecilia
Leguizamón, Guillermo
author_sort Gatica, Claudia Ruth
title A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
title_short A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
title_full A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
title_fullStr A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
title_full_unstemmed A variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
title_sort variant of simulated annealing to solve unrestricted identical parallel machine scheduling problems
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/31566
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