Learning Scheduling Rule for Job Shop Considering Multi-objective Evaluation Related to Due Date
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- KANAMARU Kohei
- Hiroshima University
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- EGUCHI Toru
- Hiroshima University
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- MURAYAMA Takeshi
- Hiroshima University
Bibliographic Information
- Other Title
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- 納期に関する多目的評価を考慮したジョブショップスケジューリングルールの学習
Description
<p>This paper deals with job shop scheduling problem with consideration for multi-objective evaluation related to due dates. An effective priority rule is constructed for this problem using a neural network. The neural network is trained using input-output pairs extracted from schedules optimized using a genetic algorithm incorporating the priority rule. The numerical experiments demonstrate that effective priority rules can be automatically constructed by training using the input-output pairs.</p>
Journal
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- The Proceedings of Mechanical Engineering Congress, Japan
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The Proceedings of Mechanical Engineering Congress, Japan 2023 (0), S141p-01-, 2023
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390862545804090496
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- ISSN
- 24242667
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed