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)

Robotics & Machine Learning Daily News2024，Issue(MAY.10) ：60-61.

来源：

NETL
NSTL

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

Abstract

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.”

Key words

Zhenjiang/People’s Republic of China/A sia/Intelligent Systems/Machine Learning/Algorithms/Genetic Algorithms/Gene tics/Jiangsu University

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航