Research for Hybrid Genetic Algorithms on Optimization of Cutting Linear stock

摘要：

The improved genetic algorithm i.e. hybrid genetic algorithm is applied to solve problem of cutting linear stock, respective corresponding determination methods and algorithms are given for genetic coding, fitness function, initial population generation and genetic operator. Elitist strategy is used in keeping the excellent individuals of population to make the genetic algorithm more effective.

关键词： optimize cutting stock hybrid genetic algorithms genetic code crossover mutation

作者: Guang Dong GuangCai Cui

作者单位: School of Computer Science and Technology Changchun University of Science and Technology Changchun, China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronic & Mechanical Engineering and Information Technology(EMEIT 2011)(2011年机电工程与信息技术国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 2230-2233

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）