Evolutionary Search and the Job Shop: Investigations on Genetic Algorithms for Production Scheduling
Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Heidelberg
Physica-Verlag HD
1996
|
| Edition: | 1st ed. 1996 |
| Series: | Production and Logistics
|
| Subjects: | |
| Online Access: | BTU01 Volltext |
| Summary: | Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in the algorithm comes along with a quite inefficient search. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques |
| Physical Description: | 1 Online-Ressource (IX, 153 p. 67 illus) |
| ISBN: | 9783662117125 |
| DOI: | 10.1007/978-3-662-11712-5 |
Staff View
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Record in the Search Index
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| edition | 1st ed. 1996 |
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| indexdate | 2024-07-10T08:56:09Z |
| institution | BVB |
| isbn | 9783662117125 |
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| spelling | Mattfeld, Dirk C. Verfasser (DE-588)114075441 aut Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling by Dirk C. Mattfeld 1st ed. 1996 Heidelberg Physica-Verlag HD 1996 1 Online-Ressource (IX, 153 p. 67 illus) txt rdacontent c rdamedia cr rdacarrier Production and Logistics Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in the algorithm comes along with a quite inefficient search. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques Operations Management Operations Research/Decision Theory Artificial Intelligence Organization Production management Operations research Decision making Artificial intelligence Planning Produktionsplanung (DE-588)4047360-0 gnd rswk-swf Kapazitätsbelegungsplanung (DE-588)4261342-5 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Lokales Suchverfahren (DE-588)4368653-9 gnd rswk-swf Reihenfolgeproblem (DE-588)4242167-6 gnd rswk-swf PPS (DE-588)4115606-7 gnd rswk-swf Adaptives Verfahren (DE-588)4310560-9 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Produktionsplanung (DE-588)4047360-0 s Reihenfolgeproblem (DE-588)4242167-6 s Lokales Suchverfahren (DE-588)4368653-9 s Evolutionärer Algorithmus (DE-588)4366912-8 s Adaptives Verfahren (DE-588)4310560-9 s DE-604 Kapazitätsbelegungsplanung (DE-588)4261342-5 s PPS (DE-588)4115606-7 s Erscheint auch als Druck-Ausgabe 9783790809176 Erscheint auch als Druck-Ausgabe 9783662117132 https://doi.org/10.1007/978-3-662-11712-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Mattfeld, Dirk C. Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling Operations Management Operations Research/Decision Theory Artificial Intelligence Organization Production management Operations research Decision making Artificial intelligence Planning Produktionsplanung (DE-588)4047360-0 gnd Kapazitätsbelegungsplanung (DE-588)4261342-5 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Lokales Suchverfahren (DE-588)4368653-9 gnd Reihenfolgeproblem (DE-588)4242167-6 gnd PPS (DE-588)4115606-7 gnd Adaptives Verfahren (DE-588)4310560-9 gnd |
| subject_GND | (DE-588)4047360-0 (DE-588)4261342-5 (DE-588)4366912-8 (DE-588)4368653-9 (DE-588)4242167-6 (DE-588)4115606-7 (DE-588)4310560-9 (DE-588)4113937-9 |
| title | Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling |
| title_auth | Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling |
| title_exact_search | Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling |
| title_exact_search_txtP | Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling |
| title_full | Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling by Dirk C. Mattfeld |
| title_fullStr | Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling by Dirk C. Mattfeld |
| title_full_unstemmed | Evolutionary Search and the Job Shop Investigations on Genetic Algorithms for Production Scheduling by Dirk C. Mattfeld |
| title_short | Evolutionary Search and the Job Shop |
| title_sort | evolutionary search and the job shop investigations on genetic algorithms for production scheduling |
| title_sub | Investigations on Genetic Algorithms for Production Scheduling |
| topic | Operations Management Operations Research/Decision Theory Artificial Intelligence Organization Production management Operations research Decision making Artificial intelligence Planning Produktionsplanung (DE-588)4047360-0 gnd Kapazitätsbelegungsplanung (DE-588)4261342-5 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Lokales Suchverfahren (DE-588)4368653-9 gnd Reihenfolgeproblem (DE-588)4242167-6 gnd PPS (DE-588)4115606-7 gnd Adaptives Verfahren (DE-588)4310560-9 gnd |
| topic_facet | Operations Management Operations Research/Decision Theory Artificial Intelligence Organization Production management Operations research Decision making Artificial intelligence Planning Produktionsplanung Kapazitätsbelegungsplanung Evolutionärer Algorithmus Lokales Suchverfahren Reihenfolgeproblem PPS Adaptives Verfahren Hochschulschrift |
| url | https://doi.org/10.1007/978-3-662-11712-5 |
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