The Use of Genetic Algorithm and Annealing Algorithm for The Optimization of Dimension Chain

摘要：

　　The error accumulation is currently working procedure dimension chain,an important problem in the increasing of the error will reduce production speed and increase production cost.Traditional mode of production in production efficiency and production cost above tend to attend.This paper using Simulated Annealing (SA) algorithm and genetic algorithm (GA) combination of mixed Simulated annealing and Genetic algorithm (SG algorithm),put genetic algorithms parallelism into annealing algorithm,thus improving annealing algorithm in computational speed.In a certain extent to optimize dimension chain,reduce error accumulation calculation speed,reduce production cost.

关键词： dimension chain SG algorithm parallelism optimize

作者: Haiming Kan Haibin Li Jie Liu Weilong Zhang

作者单位: Ministry of Education Key Lab of Contemporary Design & Integrated Manu. Tech. Northwestern Polytechn Ministry of Education Key Lab of Contemporary Design & Integrated Manu. Teeh. Northwestern Polytechn

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1033-1035

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）