会议论文详细信息
2018 5th International Conference on Advanced Composite Materials and Manufacturing Engineering
Solving Flexible Job Shop Scheduling Problem based on Improved Genetic Algorithm
Luo, Guofu^1 ; Song, Junjie^1 ; Zhang, Zhongfei^1 ; Li, Jichen^1
Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou
450000, China^1
关键词: Flexible job-shop scheduling problem;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/394/3/032135/pdf
DOI  :  10.1088/1757-899X/394/3/032135
来源: IOP
PDF
【 摘 要 】

All manuscripts must be in English, also the table and figure texts, otherwise we cannot publish your paper. Please keep a second copy of your manuscript in your office. When receiving the paper, we assume that the corresponding authors grant us the copyright to use the paper for the book or journal in question. Should authors use tables or figures from other Publications, they must ask the corresponding publishers to grant them the right to publish this material in their paper.

【 预 览 】
附件列表
Files Size Format View
Solving Flexible Job Shop Scheduling Problem based on Improved Genetic Algorithm 718KB PDF download
  文献评价指标  
  下载次数:11次 浏览次数:30次