首页> 外文会议>International conference on mechanical and electronics engineering >Application of the Tabu Search Algorithm on Solving the Optimum Heating Institution of Reheating Furnace
【24h】

Application of the Tabu Search Algorithm on Solving the Optimum Heating Institution of Reheating Furnace

机译:Tabu搜索算法在解决再加热炉的最佳加热机制

获取原文

摘要

With the aim of minimizing the energy consumption cost and taking the billet heating quality as the constraint condition, a mathematical model was established based on the billet heating model to solve the optimum heat institution of the reheating furnace. The tabu search algorithm was employed to solve the model. The results of the industrial production data optimization showed that the proposed mathematical model and the solving method could fully meet the practical production demand of the reheating furnace. In addition to satisfying the heating quality requirements, the energy consumption is reduced and the oxidation loss is decreased. Compared with the original one, the heating institution obtained from the mentioned model and algorithm had a better performance on energy efficiency.
机译:目的是最小化能量消耗成本并将方坯加热质量作为约束条件,基于方坯加热模型建立了数学模型,以解决再加热炉的最佳热机制。采用禁忌搜索算法来解决模型。工业生产数据优化的结果表明,所提出的数学模型和求解方法可以完全满足再加热炉的实际生产需求。除了满足加热质量要求之外,能量消耗降低,氧化损耗降低。与原始模型和算法获得的加热机构相比,能效具有更好的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号