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蚁群算法在原料矿粉混匀优化中的应用
引用本文:李智,谢兆鸿,姚驻斌.蚁群算法在原料矿粉混匀优化中的应用[J].矿冶,2004,13(2):75-78,64.
作者姓名:李智  谢兆鸿  姚驻斌
作者单位:1. 武汉工业学院,武汉430023
2. 武汉钢铁集团公司,武汉430081
摘    要:建立了钢铁原料矿粉混匀数学模型,采用MATLAB语言,分别用蚁群算法和改进型算法编制仿真计算程序,对原料矿混匀配比进行了优化计算。仿真结果表明,改进型蚁群算法比基本型算法的寻优能力强,而且优化计算结果可以直接用于生产,为钢铁原料矿粉混匀优化提供了定量依据。蚁群算法为钢铁原料矿粉混匀配料问题的优化求解提供了新的思路。

关 键 词:蚁群算法  混匀配料  优化  模拟
文章编号:1005-7854(2004)02-0075-04

APPLICATION OF ANT COLONY ALGORITHM IN OPTIMIZATION OF METALLURGICAL RAW ORE BALANCED BLENDING
LI Zhi,XIE Zhao-hong,YAO Zhu-bin.APPLICATION OF ANT COLONY ALGORITHM IN OPTIMIZATION OF METALLURGICAL RAW ORE BALANCED BLENDING[J].Mining & Metallurgy,2004,13(2):75-78,64.
Authors:LI Zhi~  XIE Zhao-hong~  YAO Zhu-bin~
Affiliation:LI Zhi~1,XIE Zhao-hong~1,YAO Zhu-bin~2
Abstract:Ant colony algorithms are used in optimization of raw ore balanced-blending for smelting iron and steel in order to settle the gradual shortage of raw ore materials.Raw ore balanced-blending model is built.Simulation is made by improved ant colony algorithm with MATLAB.The simulation result shows that the improved algorithm does much better than ordinary algorithms do.The result is practical in production and provides quantitative support for raw ore balanced-blending problems.Further,the ant colony algorithm gives a new way for raw ore balanced-blending optimization problems.
Keywords:Ant colony algorithm  Balanced blending  Optimization  Simulation
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