書誌事項
- タイトル別名
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- Learning Scheduling Rule for Job Shop Considering Multi-objective Evaluation Related to Due Date
説明
<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>
収録刊行物
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- 年次大会
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年次大会 2023 (0), S141p-01-, 2023
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390862545804090496
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- ISSN
- 24242667
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可