基于改进遗传算法的拉丝机压缩比优化设计研究

拉丝机压缩比的优化设计属于NP类型问题,传统计算方法复杂度过大且不易找到最优(近优)解。提出了一种基于改进遗传算法解决该问题的方法,采用排序选择法和两点交叉法有效地提高了搜索效率。分析了仿真实验的结果及算法的收敛性,实验结果表明:该算法具有较好的最优解搜索能力,搜索速度快并且收敛性好,能够提升产品性能并节约能耗。

Research on Compression Rate of Wiredrawing Machine Based on Improved Genetic Algorithm

Optimal design of compression rate of wiredrawing machine is a kind of NP problem,traditional calculation methods are too complex and not easy to find the optimal(nearly optimal) solution.The research proposes a method based on improved genetic algorithm to resolve this problem,uses the sorted selection method and two points cross method to improve the search efficiency.The paper analyses the results and the algorithm convergence of the simulation experiments.The experiments results show that: this algorithm has better ability of the best solution search,has fast search speed and good convergence,is able to improve product performance and save energy.