首页|Researchers at Jiangsu University Target Intelligent Systems (Flexible Job-shop Scheduling Problem With Parallel Batch Machines Based On an Enhanced Multi-popul ation Genetic Algorithm)
Researchers at Jiangsu University Target Intelligent Systems (Flexible Job-shop Scheduling Problem With Parallel Batch Machines Based On an Enhanced Multi-popul ation Genetic Algorithm)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - Fresh data on Machine Learning - Intelligent Syst ems are presented in a new report. According to news reporting from Zhenjiang, P eople’s Republic of China, by NewsRx journalists, research stated, “The flexible job-shop scheduling problem (FJSP) with parallel batch processing machine (PBM) is one of those long-standing issues that needs cutting-edge approaches. It is a recent extension of standard flexible job shop scheduling problems.”
ZhenjiangPeople’s Republic of ChinaA siaIntelligent SystemsMachine LearningAlgorithmsGenetic AlgorithmsGene ticsJiangsu University
NETL
NSTL
