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- W3086721093 abstract "Referring to the optimization scheduling problem for large equipment manufacturing enterprises, this research developed an effective model and algorithm to deal with it. First, the characteristics of large-scale equipment manufacturing tasks were analyzed, which include the demand for operation outsourcing and the universality of multi-agent collaboration. On the basis, a multi-objective scheduling mathematical model considering energy consumption was established, and the fuzzy analytic hierarchy process (FAHP) was applied to transform it into a single objective problem. To solve the model, a hybrid genetic algorithm and tabu search (H-GA-TS) was developed. Finally, the effectiveness of H-GA-TS and the mathematical model was verified through a typical experiment, and the performance advantages of H-GA-TS over two simple algorithms were also proved by a comparison experiment." @default.
- W3086721093 created "2020-09-21" @default.
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- W3086721093 date "2020-07-01" @default.
- W3086721093 modified "2023-10-17" @default.
- W3086721093 title "Research on Distributed Flexible Job Shop Scheduling Problem for Large Equipment Manufacturing Enterprises Considering Energy Consumption" @default.
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- W3086721093 doi "https://doi.org/10.23919/ccc50068.2020.9189640" @default.
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