- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Learning Scheduling Rule for Job Shop Considering Multi-objective Evaluation Related to Due Date
-
- KANAMARU Kohei
- Hiroshima University
-
- EGUCHI Toru
- Hiroshima University
-
- MURAYAMA Takeshi
- Hiroshima University
Bibliographic Information
- Other Title
-
- 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
-
- The Proceedings of Mechanical Engineering Congress, Japan
-
The Proceedings of Mechanical Engineering Congress, Japan 2023 (0), S141p-01-, 2023
The Japan Society of Mechanical Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390862545804090496
-
- ISSN
- 24242667
-
- Text Lang
- ja
-
- Article Type
- journal article
-
- Data Source
-
- JaLC
- Crossref
- KAKEN
- OpenAIRE
-
- Abstract License Flag
- Disallowed