A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling-Reference-Cited by-同舟云学术

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A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling

Published:2024-10 Issue: Volume:90 Page:101668
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Zhu Ningning,Zhao Fuqing^ORCID,Yu Yang,Wang Ling

Publisher

Elsevier BV

Reference40 articles.

1. A cooperative memetic algorithm with learning-based agent for energy-aware distributed hybrid flow-shop scheduling;Wang;IEEE Transac. Evol. Comp,2021

2. Energy-efficient scheduling of distributed flow shop with heterogeneous factories: a real-world case from automobile industry in China;Lu;IEEE Trans. Industr. Inform,2020

3. Two-stage no-wait proportionate flow shop scheduling with minimal service time variation and optional job rejection;Koulamas;Eur. J. Oper. Res,2023

4. Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem;Shao;Expert. Syst. Appl,2023

5. A matrix-cube-based estimation of distribution algorithm for no-wait flow-shop scheduling with sequence-dependent setup times and release times;Qian;IEEE Transac. Sys, Man, Cybern.: Sys,2022

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