Improved lion swarm optimization algorithm to solve the multi-objective rescheduling of hybrid flowshop with limited buffer-Reference-Cited by-同舟云学术

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Improved lion swarm optimization algorithm to solve the multi-objective rescheduling of hybrid flowshop with limited buffer

Published:2024-06 Issue:5 Volume:36 Page:102077
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Guan Tingyu,Wen Tingxin,Kou Bencong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. Study on the production unit’s carbon emission accounting modelinthe manufacturing system;Baihe;Chin. J. Manage. Sci.,2018

2. Prediction of steam turbine heat consumption rate based on improvement lion swarm optimization;Chanchan;Acta Metrol. Sin.,2021

3. Cheng, H., Dongfeng, Y., Haixia, Z., 2021. Optimization of digital twin job scheduling problem based on lion swarm algorithm. J. Shandong Univ.(Eng. Sci.). 51(04), 17-23+34.

4. Flexible job shop scheduling optimization model for generalizes energy;Congbo;Comput. Integr. Manuf. Syst.,2018

5. Flexible job shop rescheduling optimization method for energy-saving based on dynamic events;Congbo;Comput. Integr. Manuf. Syst.,2020

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