Optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms

Tardiness related objectives are of utmost importance in production systems when client satisfaction is a main goal of a company. These objectives measure the system response to the client requirements and rate manager´s performance In scheduling problems with diverse single or multiple objectives a...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: San Pedro, María Eugenia de, Villagra, Andrea, Lasso, Marta Graciela, Pandolfi, Daniel, Vilanova, Gabriela, Díaz de Vivar, M., Gallard, Raúl Hector
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2003
Materias:
Ciencias Informáticas
Algorithms
ARTIFICIAL INTELLIGENCE
Environments
Optimization
optimization of tardiness
single machine environments
multirecombined evolutionary algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21451
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-21451
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
Algorithms
ARTIFICIAL INTELLIGENCE
Environments
Optimization
optimization of tardiness
single machine environments
multirecombined evolutionary algorithms
spellingShingle Ciencias Informáticas
Algorithms
ARTIFICIAL INTELLIGENCE
Environments
Optimization
optimization of tardiness
single machine environments
multirecombined evolutionary algorithms
San Pedro, María Eugenia de
Villagra, Andrea
Lasso, Marta Graciela
Pandolfi, Daniel
Vilanova, Gabriela
Díaz de Vivar, M.
Gallard, Raúl Hector
Optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms
topic_facet Ciencias Informáticas
Algorithms
ARTIFICIAL INTELLIGENCE
Environments
Optimization
optimization of tardiness
single machine environments
multirecombined evolutionary algorithms
description Tardiness related objectives are of utmost importance in production systems when client satisfaction is a main goal of a company. These objectives measure the system response to the client requirements and rate manager´s performance In scheduling problems with diverse single or multiple objectives and environments Evolutionary algorithms (EAs) were successfully applied. Latest improvements in EAs have been developed by means of multirecombination, a method, which allows multiple exchange of genetic material between individuals of the mating pool. These individuals can be provided by the current population or by an external source. The performance of the algorithm depends o the number of individuals in the mating pool and their mating frequency. MCMP-SRI and MCMP-SRSI are multirecombined evolutionary approaches using the concept of the stud (a breeding individual), random immigrants and/or seeds, to avoid premature convergence and adding problem-specific- knowledge. Here, both methods applied to tardiness related problems in single machine environmen are discussed and contrasted against conventional heuristics.
format Objeto de conferencia
Objeto de conferencia
author San Pedro, María Eugenia de
Villagra, Andrea
Lasso, Marta Graciela
Pandolfi, Daniel
Vilanova, Gabriela
Díaz de Vivar, M.
Gallard, Raúl Hector
author_facet San Pedro, María Eugenia de
Villagra, Andrea
Lasso, Marta Graciela
Pandolfi, Daniel
Vilanova, Gabriela
Díaz de Vivar, M.
Gallard, Raúl Hector
author_sort San Pedro, María Eugenia de
title Optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms
title_short Optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms
title_full Optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms
title_fullStr Optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms
title_full_unstemmed Optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms
title_sort optimization of tardiness related objectives in single machine environments via multirecombined evolutionary algorithms
publishDate 2003
url http://sedici.unlp.edu.ar/handle/10915/21451
work_keys_str_mv AT sanpedromariaeugeniade optimizationoftardinessrelatedobjectivesinsinglemachineenvironmentsviamultirecombinedevolutionaryalgorithms
AT villagraandrea optimizationoftardinessrelatedobjectivesinsinglemachineenvironmentsviamultirecombinedevolutionaryalgorithms
AT lassomartagraciela optimizationoftardinessrelatedobjectivesinsinglemachineenvironmentsviamultirecombinedevolutionaryalgorithms
AT pandolfidaniel optimizationoftardinessrelatedobjectivesinsinglemachineenvironmentsviamultirecombinedevolutionaryalgorithms
AT vilanovagabriela optimizationoftardinessrelatedobjectivesinsinglemachineenvironmentsviamultirecombinedevolutionaryalgorithms
AT diazdevivarm optimizationoftardinessrelatedobjectivesinsinglemachineenvironmentsviamultirecombinedevolutionaryalgorithms
AT gallardraulhector optimizationoftardinessrelatedobjectivesinsinglemachineenvironmentsviamultirecombinedevolutionaryalgorithms
bdutipo_str Repositorios
_version_ 1764820464555786242

Ejemplares similares