Multiobjetive optimization co-evolution for the job shop scheduling problem

A job shop is a facility that produces goods according to specified production plans under several domain-dependent constraints. Job Shop Scheduling (JSS) attempts to provide optimal schedules. Cornmon variables to optimize are total completion time (makespan), machine idleness, lateness and total w...

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Detalles Bibliográficos
Autores principales: Esquivel, Susana Cecilia, Ferrero, Sergio W., Gallard, Raúl Hector
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 1999
Materias:
Ciencias Informáticas
Multiobjetive
ARTIFICIAL INTELLIGENCE
Scheduling
scheduling problem
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22227
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-22227
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
Multiobjetive
ARTIFICIAL INTELLIGENCE
Scheduling
scheduling problem
spellingShingle Ciencias Informáticas
Multiobjetive
ARTIFICIAL INTELLIGENCE
Scheduling
scheduling problem
Esquivel, Susana Cecilia
Ferrero, Sergio W.
Gallard, Raúl Hector
Multiobjetive optimization co-evolution for the job shop scheduling problem
topic_facet Ciencias Informáticas
Multiobjetive
ARTIFICIAL INTELLIGENCE
Scheduling
scheduling problem
description A job shop is a facility that produces goods according to specified production plans under several domain-dependent constraints. Job Shop Scheduling (JSS) attempts to provide optimal schedules. Cornmon variables to optimize are total completion time (makespan), machine idleness, lateness and total weighted completion time. According to this variables different objectives can be devised. Multiobjective optimization, also known as vector-valued eriteria or multieriteria optimization, have long been used in many applieation areas where a problem involve multiple objeetives, often eonflieting, to be met or optimized. Co-evolution, as an extended evolutive model, ean be applied to solve multieriteria optimization for the JSS problem using a plain aggregative approach. This presentation will show the design, implementations and results of a co-evolutive approaeh solving a multiobjeetive optimization problem involving the makespan, maehine idleness and total weighted eompletion time as eriteria to be optimized.
format Objeto de conferencia
Objeto de conferencia
author Esquivel, Susana Cecilia
Ferrero, Sergio W.
Gallard, Raúl Hector
author_facet Esquivel, Susana Cecilia
Ferrero, Sergio W.
Gallard, Raúl Hector
author_sort Esquivel, Susana Cecilia
title Multiobjetive optimization co-evolution for the job shop scheduling problem
title_short Multiobjetive optimization co-evolution for the job shop scheduling problem
title_full Multiobjetive optimization co-evolution for the job shop scheduling problem
title_fullStr Multiobjetive optimization co-evolution for the job shop scheduling problem
title_full_unstemmed Multiobjetive optimization co-evolution for the job shop scheduling problem
title_sort multiobjetive optimization co-evolution for the job shop scheduling problem
publishDate 1999
url http://sedici.unlp.edu.ar/handle/10915/22227
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AT ferrerosergiow multiobjetiveoptimizationcoevolutionforthejobshopschedulingproblem
AT gallardraulhector multiobjetiveoptimizationcoevolutionforthejobshopschedulingproblem
bdutipo_str Repositorios
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