Solving Collaborative Manufacturing Resources Optimization Deployment Problems based on Improved DNA Genetic Algorithm

摘要：

In this paper, According to the collaborative manufacturing resources optimization deployment problems, designed subsection crossover and subsection mutation based on process code, adopted fitness scaling method and ranking method to select operators, proposed an improved genetic algorithm based on DNA computation for solving the resources optimization deployment problems, so that the offspring are better able to inherit the good features of parent. Through simulation, tested the designed algorithm performance;by comparing with conventional genetic algorithm test results, it proved the validity of the designed algorithm.

关键词： DNA computation enetic algorithm subsection crossover subsection mutation collaborative manufacturing resources optimization deployment

作者: NIE Shuzhi ZHONG Yanhua

作者单位: Depart.of Electronics and Information Technology, Jiangmen Polytechnic, Jiangmen.China,529090 Depart.of Electronics and Information Technology, Jiangmen Polytechnic, Jiangmen.China, 529090

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 289-292

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）