To address the challenge posed by the contradiction between the large-scale mass produc-tion in steelmaking and the demand for variety and specification diversity in subsequent processes,a study on the steelmaking flow balance problem was conducted.An optimization method based on in-telligent decision-making was proposed to enhance the overall production process's continuity and stability.The approach involved analyzing the process rules and technical indicators that needed opti-mization to achieve flow balance in steelmaking.To accurately represent the problem structure,a mixed-integer programming model was developed.Recognizing the need for efficient solutions,espe-cially for large-scale problems,an enhanced tabu search algorithm was introduced.This algorithm in-corporates multiple neighborhood structures and disturbance factors to prevent it from getting trapped in local optima.Numerical experiments were conducted on practical instances of varying scales,and the results indicate significant improvements in solution quality and convergence of the proposed en-hanced tabusearch algorithm compared to the standard solver CPLEX and conventional tabu search algorithms.Furthermore,it outperforms manual decision method and can basically meet the needs of flow balance intelligent decision-making.
关键词
钢铁全流程/流向平衡/智能决策/整数规划/禁忌搜索
Key words
whole process of steel production/flow balance/intelligent decision-making/integer pro-gramming/tabu search
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