Multi-objective Model Saving Water and Improving Efficiency in Continuous Casting Secondary Cooling

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.