A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time-Reference-Cited by-同舟云学术

A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time

Published:2024-05 Issue: Volume:131 Page:107818
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Shao Zhongshi,Shao Weishi,Chen Jianrui,Pi Dechang

Funder

China Postdoctoral Science Foundation

Shaanxi Normal University

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Natural Science Basic Research Program of Shaanxi Province

National Natural Science Foundation of China

Nanjing Normal University

Publisher

Elsevier BV

Reference73 articles.

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3. A cooperated shuffled frog-leaping algorithm for distributed energy-efficient hybrid flow shop scheduling with fuzzy processing time;Cai;Complex Intell. Syst.,2021

4. A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling;Cai;Int. J. Prod. Res.,2022

5. New benchmark algorithm for minimizing total completion time in blocking flowshops with sequence-dependent setup times;Cheng;Appl. Soft Comput.,2021

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