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Cast Batch Planning for Steelmaking and Continuous Casting Based on Ant Colony Algorithm

机译:基于蚁群算法的炼钢连铸批量计划

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A multi-objective 0-1 integer programming model is established in order to solve the complex problem of cast batch planning for steelmaking and continuous casting which is considered as vehicle routing problem. To solve the complex multi-constrained, multi-objective cast batch planning model for steelmaking and continuous casting, a method is proposed which combines rules with ant colony algorithm. The algorithm is tested by online data. Results show that the proposed algorithm can quickly workout the optimal cast batch planning for steelmaking and continuous casting, and can lay the firm groundwork for application to production process in the future.
机译:建立了多目标0-1整数规划模型,以解决炼钢和连铸铸造批量计划的复杂问题,该问题被认为是车辆路径问题。为了解决炼钢和连铸的复杂多约束多目标铸件批量计划模型,提出了一种将规则与蚁群算法相结合的方法。该算法通过在线数据进行测试。结果表明,所提出的算法可以快速锻炼炼钢和连铸的最佳浇铸批量计划,并为将来在生产过程中的应用打下坚实的基础。

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