基于混沌搜索的螺旋滚筒参数免疫优化  

Immune Optimization for Parameters of Helix Shearer Drum Using Chaos Search

作　　者：申燚[1] 卜云峰[1] 

机构地区：[1]淮阴工学院,江苏淮安223003

出　　处：《煤矿机械》2009年第7期15-17,共3页Coal Mine Machinery

基　　金：江苏省高校自然科学基金项目(05KJB460007);淮阳工学院重点自然科学基金项目(HG0406)

摘　　要：为了提高采煤机螺旋滚筒的装煤能力,建立了滚筒装煤性能参数优化模型,并提出了一种基于混沌搜索的免疫优化算法。利用混沌变量的遍历性和随机性,通过Logistic映射生成初始种群,利用混沌扰动对低亲和力个体进行局部搜索。滚筒参数优化实验结果表明,新免疫算法收敛速度更快,搜索能力更强。To improve the loading performance of helix shearer drum, a parameter optimization model of helix shearer drum is built and a chaos - based immune optimization algorithm （CIOA） is presented. The characteristics of ergodicity and randomness of chaotic variables are considered to produce the initial population, and the chaos disturbance is used for the individuals with low affinity degree. The optimization results of parameters of shearer drum indicate that the proposed CIOA is characterized by high convergence speed and strong searching ability.

关 键 词：螺旋滚筒 混沌 免疫算法 优化 

分 类 号：TD421.6[矿业工程—矿山机电]