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.
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.
出处
《郑州大学学报（理学版）》
CAS
北大核心
2013年第3期72-76,共5页
Journal of Zhengzhou University:Natural Science Edition
关键词
连铸二冷
节水模型
拉速模型
蚁群优化算法
continuous casting secondary cooling
water saving model
casting speed model
ant colonyoptimal algorithm
