A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems:
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Edinburgh
1993
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| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
623 |
| Schlagwörter: | |
| Abstract: | Abstract: "The general job-shop scheduling problem is known to be extremely hard. We describe a GA approach which produces reasonably good results very quickly on standard benchmark job-shop scheduling problems, better than previous efforts using genetic algorithms for this task, and comparable to existing conventional search-based methods. The representation used is a variant of one known to work moderately well for the traveling salesman problem. It has the considerable merit that crossover will always produce legal schedules. A novel method for performance enhancement is examined based on dynamic sampling of the convergence rates in different parts of the genome. Our approach also promises to effectively address the open-shop scheduling problem and the job-shop rescheduling problem." |
| Umfang: | 9 S. |
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| 100 | 1 | |a Fang, Hsiao-Lan |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems |c Hsiao-Lan Fang, Peter Ross, and Dave Corne |
| 264 | 1 | |a Edinburgh |c 1993 | |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 623 | |
| 520 | 3 | |a Abstract: "The general job-shop scheduling problem is known to be extremely hard. We describe a GA approach which produces reasonably good results very quickly on standard benchmark job-shop scheduling problems, better than previous efforts using genetic algorithms for this task, and comparable to existing conventional search-based methods. The representation used is a variant of one known to work moderately well for the traveling salesman problem. It has the considerable merit that crossover will always produce legal schedules. A novel method for performance enhancement is examined based on dynamic sampling of the convergence rates in different parts of the genome. Our approach also promises to effectively address the open-shop scheduling problem and the job-shop rescheduling problem." | |
| 650 | 7 | |a Applied statistics, operational research |2 sigle | |
| 650 | 7 | |a Mathematics |2 sigle | |
| 650 | 4 | |a Mathematik | |
| 650 | 4 | |a Genetic algorithms | |
| 700 | 1 | |a Ross, Peter |e Verfasser |4 aut | |
| 700 | 1 | |a Corne, Dave |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 623 |w (DE-604)BV010450646 |9 623 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-006971556 | |
Datensatz im Suchindex
| DE-BY-TUM_call_number | 0111 2001 B 6034-623 |
|---|---|
| DE-BY-TUM_katkey | 664195 |
| DE-BY-TUM_location | 01 |
| DE-BY-TUM_media_number | 040020063083 |
| _version_ | 1821930933843918850 |
| any_adam_object | |
| author | Fang, Hsiao-Lan Ross, Peter Corne, Dave |
| author_facet | Fang, Hsiao-Lan Ross, Peter Corne, Dave |
| author_role | aut aut aut |
| author_sort | Fang, Hsiao-Lan |
| author_variant | h l f hlf p r pr d c dc |
| building | Verbundindex |
| bvnumber | BV010463139 |
| ctrlnum | (OCoLC)32307137 (DE-599)BVBBV010463139 |
| format | Book |
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| id | DE-604.BV010463139 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T09:54:33Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006971556 |
| oclc_num | 32307137 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 9 S. |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spellingShingle | Fang, Hsiao-Lan Ross, Peter Corne, Dave A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems Applied statistics, operational research sigle Mathematics sigle Mathematik Genetic algorithms |
| title | A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems |
| title_auth | A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems |
| title_exact_search | A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems |
| title_full | A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems Hsiao-Lan Fang, Peter Ross, and Dave Corne |
| title_fullStr | A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems Hsiao-Lan Fang, Peter Ross, and Dave Corne |
| title_full_unstemmed | A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems Hsiao-Lan Fang, Peter Ross, and Dave Corne |
| title_short | A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems |
| title_sort | a promising genetic algorithm approach to job shop scheduling rescheduling and open shop scheduling problems |
| topic | Applied statistics, operational research sigle Mathematics sigle Mathematik Genetic algorithms |
| topic_facet | Applied statistics, operational research Mathematics Mathematik Genetic algorithms |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT fanghsiaolan apromisinggeneticalgorithmapproachtojobshopschedulingreschedulingandopenshopschedulingproblems AT rosspeter apromisinggeneticalgorithmapproachtojobshopschedulingreschedulingandopenshopschedulingproblems AT cornedave apromisinggeneticalgorithmapproachtojobshopschedulingreschedulingandopenshopschedulingproblems |
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Teilbibliothek Mathematik & Informatik, Berichte
| Signatur: |
0111 2001 B 6034-623 Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |