摘要
模拟退火和多种群进化是改进遗传算法的两种主要手段 ,文章将这两种方法相结合 ,建立了基于模拟退火的多种群遗传算法 ,并将该算法应用于C Mn钢生产时内控成分和轧制工艺的优化 ,以满足用户对钢产品的力学性能和化学成分的要求。
Simulated annealing and multigroup evolution are two helpful methods,which can improve the performance of genetic algorithm.These methods are well combined and a multigroup genetic algorithm based on simulated annealing is derived and applied to the optimization of C-Mn steel industrial process.The satisfied chemical composition and process parameters can be derived according to the required mechanical properties.
出处
《宝钢技术》
CAS
2003年第1期18-22,共5页
Baosteel Technology
关键词
锰钢
多种群遗传算法
C—MN钢
内控成分
轧钢工艺
优化
Multigroup genetic algorithm
C-Mn steel
Internal controlled composition
Rolling technology
Optimization
