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基于遺傳算法的煉鋼-連鑄重計劃方法

Production re-planning based on genetic algorithm for steelmaking-continuous casting

  • 摘要: 針對多約束的煉鋼-連鑄重計劃問題,提出了一種按擾動時爐次的狀態進行爐次分類求解的重計劃方法.將重計劃問題中的約束分成強制約束和柔性約束兩類,針對正在作業爐次設計了基于時間順推和遺傳算法的混合算法,針對未作業爐次設計了基于時間倒推和遺傳算法的混合算法,通過強制約束結合混合算法搜尋可行解,然后在可行解中利用柔性約束搜尋最優解.采用鋼廠的生產實績數據進行仿真實驗驗證了該方法的可行性和有效性.

     

    Abstract: An approach, whose hardcore is a classification of charges by determining whether the charge starts at the time of disturbance occurrence, of making a re-plan was proposed to solve the problem of multi-constrained steelmaking-continuous casting re-planning. The constraints of the re-planning problem are divided into hard and soft constraints. A hybrid algorithm based on time forward inferring and genetic algorithm is designed for the processing charges, and another hybrid algorithm based on time backward inferring and genetic algorithm is designed for the un-processing charges. The feasible solution of the re-planning problem is solved with the hybrid algorithm and hard constraints, and the optimal solution is searched with the soft constraints in the feasible solution. The feasibility and effectiveness of the method were verified with the help of simulation experiments by production data in a steel plant.

     

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