Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems
The study of earliness and tardiness penalties in scheduling is a relatively recent area of research. In the past, traditionally the emphasis was put on regular measures that are nondecreasing in job completion times such as makespan, mean lateness, percentage of tardy jobs or mean tardiness. Curren...
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| Autores principales: | , , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2001
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/21657 |
| Aporte de: |
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I19-R120-10915-21657 |
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| 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 ARTIFICIAL INTELLIGENCE Evolución Algorithms Scheduling evolutionary algorithms random immigrants scheduling problems |
| spellingShingle |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Evolución Algorithms Scheduling evolutionary algorithms random immigrants scheduling problems San Pedro, María Eugenia de Pandolfi, Daniel Villagra, Andrea Vilanova, Gabriela Gallard, Raúl Hector Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems |
| topic_facet |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Evolución Algorithms Scheduling evolutionary algorithms random immigrants scheduling problems |
| description |
The study of earliness and tardiness penalties in scheduling is a relatively recent area of research. In the past, traditionally the emphasis was put on regular measures that are nondecreasing in job completion times such as makespan, mean lateness, percentage of tardy jobs or mean tardiness. Current trends in manufacturing is focussed in just-in-time production which emphasize policies discouraging earliness as well as tardiness.
Evolutionary algorithms have been successfully applied to solve scheduling problems. New trends to enhance evolutionary algorithms introduced (MCMP) a multirecombinative approach allowing multiple-crossovers-on-multiple-parents (more than two) parents. MCMP-SRI is a novel MCMP variant, which considers the inclusion of a stud-breeding individual in a pool of random immigrant parents. Members of this mating pool subsequently undergo multiple crossover operations.
This paper describes implementation details and the performance of MCMP-SRI for a set of single machine scheduling instances with a common due date. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
San Pedro, María Eugenia de Pandolfi, Daniel Villagra, Andrea Vilanova, Gabriela Gallard, Raúl Hector |
| author_facet |
San Pedro, María Eugenia de Pandolfi, Daniel Villagra, Andrea Vilanova, Gabriela Gallard, Raúl Hector |
| author_sort |
San Pedro, María Eugenia de |
| title |
Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems |
| title_short |
Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems |
| title_full |
Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems |
| title_fullStr |
Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems |
| title_full_unstemmed |
Evolutionary algorithms whit studs and random immigrants to solve E/T scheduling problems |
| title_sort |
evolutionary algorithms whit studs and random immigrants to solve e/t scheduling problems |
| publishDate |
2001 |
| url |
http://sedici.unlp.edu.ar/handle/10915/21657 |
| work_keys_str_mv |
AT sanpedromariaeugeniade evolutionaryalgorithmswhitstudsandrandomimmigrantstosolveetschedulingproblems AT pandolfidaniel evolutionaryalgorithmswhitstudsandrandomimmigrantstosolveetschedulingproblems AT villagraandrea evolutionaryalgorithmswhitstudsandrandomimmigrantstosolveetschedulingproblems AT vilanovagabriela evolutionaryalgorithmswhitstudsandrandomimmigrantstosolveetschedulingproblems AT gallardraulhector evolutionaryalgorithmswhitstudsandrandomimmigrantstosolveetschedulingproblems |
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Repositorios |
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