A hybrid evolution strategies-simulated annealing algorithm for job shop scheduling problems-Reference-Cited by-同舟云学术

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A hybrid evolution strategies-simulated annealing algorithm for job shop scheduling problems

Published:2024-07 Issue: Volume:133 Page:108016
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Khurshid Bilal^ORCID,Maqsood Shahid^ORCID

Publisher

Elsevier BV

Reference112 articles.

1. The shifting bottleneck procedure for job shop scheduling;Adams;Manag. Sci.,1988

2. Quantum solutions to job shop scheduling problems;Aggoune,2023

3. A meta-heuristic to solve the just-in-time job-shop scheduling problem;Ahmadian;Eur. J. Oper. Res.,2021

4. A review on evolution of production scheduling with neural networks;Akyol;Comput. Ind. Eng.,2007

5. Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem;Alkhateeb;J. Supercomput.,2022

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