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连铸二冷节水增效多目标优化模型
引用本文:王海科,李纪云,裴红星.连铸二冷节水增效多目标优化模型[J].郑州大学学报(自然科学版),2013(3):72-76.
作者姓名:王海科  李纪云  裴红星
作者单位:[1]郑州大学学报编辑部,河南郑州450001 [2]河南职业技术学院信息工程系,河南郑州450046 [3]郑州大学物理工程学院,河南郑州450001
摘    要:在蚁群算法中采用节点选择优化策略,减少算法中的节点选择次数,并通过对筛选候选节点减少单个蚂蚁选择节点的计算量,提高蚁群算法的执行效率.在冶金准则、设备约束条件确定的板坯连铸优化模型中,加入节水模型、拉速优化模型,形成新的板坯连铸二次冷却多目标优化模型.并利用改进的蚁群算法对板坯连铸二次冷却进行优化,达到在保证连铸坯质量的前提下,提高生产效率、节约二冷用水的目的.

关 键 词:连铸二冷  节水模型  拉速模型  蚁群优化算法

Multi-objective Model Saving Water and Improving Efficiency in Continuous Casting Secondary Cooling
WANG Hai-keI,LI Ji-yun,PEI Hong-xing.Multi-objective Model Saving Water and Improving Efficiency in Continuous Casting Secondary Cooling[J].Journal of Zhengzhou University (Natural Science),2013(3):72-76.
Authors:WANG Hai-keI  LI Ji-yun  PEI Hong-xing
Institution:3 ( 1. Department of Edition, Zhengzhou University, Zhengzhou 450001, China ; 2. Department of Information Engineering, Henan Polytechnic, Zhengzhou 450046, China ; 3. School of Physics and Engineering, Zhengzhou University, Zhengzhou 450001, China)
Abstract:In the new ant colony optimal (ACO) algorithm, node-optimization was used to reduce the time of node-selection and processing costs. The improved ACO algorithm could be enhanced greatly comparing with the traditional ACO. Considering about saving water model and casting speed optimal model, the new multi-objective model consistsed of metallurgical criteria and equipment constraints. The improved ACO algorithm was used to optimize the continuous casting slabs secondary cooling. The method could improve the production efficiency and save secondary cooling water as well as ensure the continuous casting slabs quality.
Keywords:continuous casting secondary cooling  water saving model  casting speed model  ant colonyoptimal algorithm
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