基于免疫算法的矿井防尘供水管网优化  

Mine Water Supply Pipe Network Optimization Based on Immune Algorithm

作　　者：韩硕[1] 蒋仲安[1] 彭亚 

机构地区：[1]北京科技大学金属矿山高效开采与安全教育部重点实验室,北京100083

出　　处：《煤炭技术》2017年第11期183-186,共4页Coal Technology

基　　金：国家重点研发计划课题(2016YFC0801702);国家自然科学基金资助项目(51574016)

摘　　要：为提高矿井防尘供水管网可靠性,实现管网费用的合理分配,达到管网的全局优化。选取唐山某矿供水管网为原型,建立管网经济性和可靠性的数学模型,采用基于相似度和适应度共同选择的免疫算法对模型进行求解,通过Matlab编程来实现运算,并与遗传算法进行对比。In order to improve the reliability of water supply pipe in mine,achieve the rational allocation of costs,andachieve the global optimization of pipe network.Select a mine water supply network in Tangshan as a prototype,take the diameter as the independent variable,established the mathematic model of pipeline network economy and reliability,and immune algorithm based on similarity selection is used to solve the model,by means of Matlab programming to implement the operation of the algorithm,and compared with the result of the genetic algorithm to optimize.

关 键 词：供水管网 目标函数 免疫算法 

分 类 号：TD218[矿业工程—矿井建设] TD714