A promising hybrid GA heuristic approach for open shop scheduling problems:
Abstract: "Many problems in industry are a form of open-shop scheduling problem (OSSP). We describe a hybrid approach to this problem which combines a Genetic Algorithm (GA) with simple heuristic schedule building rules. Excellent performance is found on some benchmark OSS problems, including i...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Edinburgh
Univ.
1994
|
Schriftenreihe: | DAI research paper
699 |
Schlagworte: | |
Zusammenfassung: | Abstract: "Many problems in industry are a form of open-shop scheduling problem (OSSP). We describe a hybrid approach to this problem which combines a Genetic Algorithm (GA) with simple heuristic schedule building rules. Excellent performance is found on some benchmark OSS problems, including improvements on previous best-known results. We describe how our approach can be simply amended to deal with the more complex style of open shop scheduling problems which occur in industry, and discuss issues relating to further improvement of performance and integration of the approach into industrial job shop environments." |
Beschreibung: | [5] S. |
Internformat
MARC
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100 | 1 | |a Fang, Hsiao-Lan |e Verfasser |4 aut | |
245 | 1 | 0 | |a A promising hybrid GA heuristic approach for open shop scheduling problems |c Hsiao-Lan Fang ; Peter Ross, and Dave Corne |
246 | 1 | 0 | |a GA/heuristic |
264 | 1 | |a Edinburgh |b Univ. |c 1994 | |
300 | |a [5] S. | ||
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337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a DAI research paper |v 699 | |
520 | 3 | |a Abstract: "Many problems in industry are a form of open-shop scheduling problem (OSSP). We describe a hybrid approach to this problem which combines a Genetic Algorithm (GA) with simple heuristic schedule building rules. Excellent performance is found on some benchmark OSS problems, including improvements on previous best-known results. We describe how our approach can be simply amended to deal with the more complex style of open shop scheduling problems which occur in industry, and discuss issues relating to further improvement of performance and integration of the approach into industrial job shop environments." | |
650 | 4 | |a Genetic algorithms | |
650 | 4 | |a Heuristic programming | |
650 | 4 | |a Scheduling | |
700 | 1 | |a Ross, Peter |e Verfasser |4 aut | |
700 | 1 | |a Corne, David |d 1962- |e Verfasser |0 (DE-588)12041399X |4 aut | |
830 | 0 | |a DAI research paper |v 699 |w (DE-604)BV010450646 |9 699 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-016958602 |
Datensatz im Suchindex
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any_adam_object | |
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author | Fang, Hsiao-Lan Ross, Peter Corne, David 1962- |
author_GND | (DE-588)12041399X |
author_facet | Fang, Hsiao-Lan Ross, Peter Corne, David 1962- |
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 | BV035151362 |
ctrlnum | (OCoLC)34847610 (DE-599)BVBBV035151362 |
format | Book |
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id | DE-604.BV035151362 |
illustrated | Not Illustrated |
index_date | 2024-07-02T22:46:47Z |
indexdate | 2024-07-09T21:26:09Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016958602 |
oclc_num | 34847610 |
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owner_facet | DE-91G DE-BY-TUM |
physical | [5] S. |
publishDate | 1994 |
publishDateSearch | 1994 |
publishDateSort | 1994 |
publisher | Univ. |
record_format | marc |
series | DAI research paper |
series2 | DAI research paper |
spelling | Fang, Hsiao-Lan Verfasser aut A promising hybrid GA heuristic approach for open shop scheduling problems Hsiao-Lan Fang ; Peter Ross, and Dave Corne GA/heuristic Edinburgh Univ. 1994 [5] S. txt rdacontent n rdamedia nc rdacarrier DAI research paper 699 Abstract: "Many problems in industry are a form of open-shop scheduling problem (OSSP). We describe a hybrid approach to this problem which combines a Genetic Algorithm (GA) with simple heuristic schedule building rules. Excellent performance is found on some benchmark OSS problems, including improvements on previous best-known results. We describe how our approach can be simply amended to deal with the more complex style of open shop scheduling problems which occur in industry, and discuss issues relating to further improvement of performance and integration of the approach into industrial job shop environments." Genetic algorithms Heuristic programming Scheduling Ross, Peter Verfasser aut Corne, David 1962- Verfasser (DE-588)12041399X aut DAI research paper 699 (DE-604)BV010450646 699 |
spellingShingle | Fang, Hsiao-Lan Ross, Peter Corne, David 1962- A promising hybrid GA heuristic approach for open shop scheduling problems DAI research paper Genetic algorithms Heuristic programming Scheduling |
title | A promising hybrid GA heuristic approach for open shop scheduling problems |
title_alt | GA/heuristic |
title_auth | A promising hybrid GA heuristic approach for open shop scheduling problems |
title_exact_search | A promising hybrid GA heuristic approach for open shop scheduling problems |
title_exact_search_txtP | A promising hybrid GA heuristic approach for open shop scheduling problems |
title_full | A promising hybrid GA heuristic approach for open shop scheduling problems Hsiao-Lan Fang ; Peter Ross, and Dave Corne |
title_fullStr | A promising hybrid GA heuristic approach for open shop scheduling problems Hsiao-Lan Fang ; Peter Ross, and Dave Corne |
title_full_unstemmed | A promising hybrid GA heuristic approach for open shop scheduling problems Hsiao-Lan Fang ; Peter Ross, and Dave Corne |
title_short | A promising hybrid GA heuristic approach for open shop scheduling problems |
title_sort | a promising hybrid ga heuristic approach for open shop scheduling problems |
topic | Genetic algorithms Heuristic programming Scheduling |
topic_facet | Genetic algorithms Heuristic programming Scheduling |
volume_link | (DE-604)BV010450646 |
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