Facing the job shop scheduling problem wih hybrid evolutionary algorithms

Evolutionary algorithms (EAs) offer a robust approach to problem solving. EAs are extremely flexible and can be extended by incorporating alternative approaches to favour he search process. One way is to hybridize an evolutionary algorithm with standard local search procedures [10,11], such as hill...

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Autores principales: Salto, Carolina, Fernandez, Natalia, Alfonso, Hugo, Gallard, Raúl Hector
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
Materias:
Ciencias Informáticas
Facing the job shop scheduling problem
hybrid evolutionary algorithms
Scheduling
ARTIFICIAL INTELLIGENCE
Algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21660
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-21660
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
Facing the job shop scheduling problem
hybrid evolutionary algorithms
Scheduling
ARTIFICIAL INTELLIGENCE
Algorithms
spellingShingle Ciencias Informáticas
Facing the job shop scheduling problem
hybrid evolutionary algorithms
Scheduling
ARTIFICIAL INTELLIGENCE
Algorithms
Salto, Carolina
Fernandez, Natalia
Alfonso, Hugo
Gallard, Raúl Hector
Facing the job shop scheduling problem wih hybrid evolutionary algorithms
topic_facet Ciencias Informáticas
Facing the job shop scheduling problem
hybrid evolutionary algorithms
Scheduling
ARTIFICIAL INTELLIGENCE
Algorithms
description Evolutionary algorithms (EAs) offer a robust approach to problem solving. EAs are extremely flexible and can be extended by incorporating alternative approaches to favour he search process. One way is to hybridize an evolutionary algorithm with standard local search procedures [10,11], such as hill climbing [12], simulated annealing [15] and tabu search [4]. Individual solutions can be improved using local techniques and then placed back in competition with other members of the population. The hybrid approach complements the properties of evolutionary algorithm and local search heuristic methods. An evolutionary algorithm is used to perform global search to escape from local optima, while local search is used to conduct fine-tuning.
format Objeto de conferencia
Objeto de conferencia
author Salto, Carolina
Fernandez, Natalia
Alfonso, Hugo
Gallard, Raúl Hector
author_facet Salto, Carolina
Fernandez, Natalia
Alfonso, Hugo
Gallard, Raúl Hector
author_sort Salto, Carolina
title Facing the job shop scheduling problem wih hybrid evolutionary algorithms
title_short Facing the job shop scheduling problem wih hybrid evolutionary algorithms
title_full Facing the job shop scheduling problem wih hybrid evolutionary algorithms
title_fullStr Facing the job shop scheduling problem wih hybrid evolutionary algorithms
title_full_unstemmed Facing the job shop scheduling problem wih hybrid evolutionary algorithms
title_sort facing the job shop scheduling problem wih hybrid evolutionary algorithms
publishDate 2001
url http://sedici.unlp.edu.ar/handle/10915/21660
work_keys_str_mv AT saltocarolina facingthejobshopschedulingproblemwihhybridevolutionaryalgorithms
AT fernandeznatalia facingthejobshopschedulingproblemwihhybridevolutionaryalgorithms
AT alfonsohugo facingthejobshopschedulingproblemwihhybridevolutionaryalgorithms
AT gallardraulhector facingthejobshopschedulingproblemwihhybridevolutionaryalgorithms
bdutipo_str Repositorios
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