Intelligent optimisation algorithm of rolling schedule for steel integrated production
by Le Yang; Guozhang Jiang; Xiaowu Chen; Gongfa Li
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 16, No. 4, 2019

Abstract: The paper presents an improved algorithm-heuristic genetic algorithm which is different from the traditional algorithm, and combining it with the mode knowledge in the knowledge base, we developed algorithm library that oriented steel production order. The algorithm, which has quick convergence speed and strong global search ability, avoids the defects of traditional genetic algorithm premature convergence. Firstly, we analyse the integrated steel production planning system structure, describe the rolling plan problem, give rolling planning model that considers maximum rolling miles, and give the detailed steps of the various specific rolling schedule algorithm, including the selection of clustering operator, construct initial solution, crossover operator and mutation operator and ranking operator, and then give the process of rolling planning algorithm. Finally, the algorithm is verified by the simulation examples, and the optimal solution is obtained, which not only improves the efficiency of the calculation, but also increases the reliability of the data.

Online publication date: Wed, 05-Jun-2019

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