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Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

Ziyan Zhao Shixin Liu MengChu Zhou Abdullah Abusorrah

自动化学报(英文版)2021,Vol.8Issue(6):1199-1209,11.
自动化学报(英文版)2021,Vol.8Issue(6):1199-1209,11.DOI:10.1109/JAS.2020.1003539

Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

Ziyan Zhao 1Shixin Liu 2MengChu Zhou 3Abdullah Abusorrah2

作者信息

  • 1. State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engine,Northeastern University, Shenyang 110819, China
  • 2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark NJ 07102 USA
  • 3. State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering,Northeastern University, Shenyang 110819, China
  • 折叠

摘要

关键词

Insertion-based local search/iterated greedy algorithm/machine learning/memetic algorithm/nondominated sorting genetic algorithm Ⅱ(NSGA-II)/production scheduling

Key words

Insertion-based local search/iterated greedy algorithm/machine learning/memetic algorithm/nondominated sorting genetic algorithm Ⅱ(NSGA-II)/production scheduling

引用本文复制引用

Ziyan Zhao,Shixin Liu,MengChu Zhou,Abdullah Abusorrah..Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem[J].自动化学报(英文版),2021,8(6):1199-1209,11.

基金项目

This work was supported by the China&nbsp ()

Scholarship Council Scholarship,the National Key Research and&nbsp ()

Development Program of China(2017YFB0306400),the National Natural&nbsp (2017YFB0306400)

Science Foundation of China(62073069)and the Deanship of Scientific&nbsp (62073069)

Research(DSR)at King Abdulaziz University(RG-48-135-40).&nbsp (DSR)

Recommended by Associate Editor Tao Yang. ()

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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