基于人工免疫粒子群算法的提升机卷筒优化  

Optimization of hoist drum based on artificial immune particle swarm algorithm

作　　者：晋民杰[1] 赵福[1] 马朝选[1] 郭空斐[1] 冯振华[1] 

机构地区：[1]太原科技大学交通与物流学院,山西太原030024

出　　处：《矿山机械》2013年第1期42-45,共4页Mining & Processing Equipment

基　　金：山西科技攻关计划项目(20100321058-02);校博士科研启动资金项目(20102017)

摘　　要：为了对提升机卷筒结构进行优化,通过人工免疫算法(AI)和粒子群算法(PSO)的结合形成人工免疫粒子群算法(AI-PSO),解决粒子群算法的早熟问题,增大了全局搜索能力。借助提升机卷筒质量的数学模型,以卷筒质量最轻为目标函数,分别应用PSO、AI-PSO对提升机卷筒进行优化。结果表明,AI-PSO优化速度更快,优化效果更好,可为提升机卷筒的设计提供参考。To optimize the structure of hoist drums, artificial immune （AI） algorithm was combined with parti- cle swarm optimization （PSO） algorithm to form artificial immune particle swarm optimization （AI-PSO） algo- rithm which overcame the precocity of PSO and improved the global searching capability. The least drum mass serving as the objective function, PSO algorithm and AI-PSO algorithm were respectively applied to optimize the drum with the aid of the mathematical model of drum mass. The results showed that AI-PSO algorithm had faster optimization velocity with better optimization effects, which offered references for the design of hoist drums.

关 键 词：提升机卷筒 人工免疫粒子群 全局优化 

分 类 号：TD534[矿业工程—矿山机电]