An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems-Reference-Cited by-同舟云学术

An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems

Published:2024-05 Issue: Volume:157 Page:111522
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Li Jiahang^ORCID,Li Xinyu^ORCID,Gao Liang^ORCID

Funder

National Natural Science Foundation of China

Huazhong University of Science and Technology

Publisher

Elsevier BV

Reference57 articles.

1. A survey of job shop scheduling problem: The types and models;Xiong;Comput. Oper. Res.,2022

2. A novel mathematical model for the flexible job-shop scheduling problem with limited automated guided vehicles;Yao;IEEE Trans. Autom. Sci. Eng.,2024

3. Review of job shop scheduling research and its new perspectives under industry 4.0;Zhang;J. Intell. Manuf.,2017

4. A hybrid evolutionary algorithm using two solution representations for hybrid flow-shop scheduling problem;Fan;IEEE Trans. Cybern.,2023

5. A hybrid differential evolution and estimation of distribution algorithm based on neighbourhood search for job shop scheduling problems;Zhao;Int. J. Prod. Res.,2015

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