J Luo, D El Baz, R Xue, J Hu - Future Generation Computer Systems, 2020 - Elsevier
Integrating energy savings into production efficiency is considered as one essential factor in modern industrial practice. A lot of research dealing with energy efficiency problems in the …
SE Barykin, IV Kapustina, SM Sergeev… - …, 2022 - ncbi.nlm.nih.gov
Background: Some firms with good growth opportunities and additional funds could have difficulties accessing external finance. One possible way to enhance their financial inclusion …
This paper presents a hybrid genetic algorithm with collective communication (HGACC) using distributed processing for the job shop scheduling problem. The genetic algorithm …
P Bharti, S Jain - International Journal of Operational …, 2022 - inderscienceonline.com
Manufacturing scheduling is known to be one of the most complex optimisation problems and falls in the category of NP-hard problems. Continuous efforts have been made by the …
Disaster relief operations typically involve a large number of engineering rescue tasks, the efficient completion of which is vital to the success of the operations. The paper establishes …
赵诗奎 - Journal of Mechanical Engineering, 2021 - qikan.cmes.org
Aiming at the job shop scheduling problem (JSP), a hybrid algorithm of path relinking and tabu search is proposed to optimize the maximum completion time. Combining with JSP …
Z Jiang, Q Yang - PloS one, 2016 - journals.plos.org
The fruit fly optimization algorithm (FOA) is a newly developed bio-inspired algorithm. The continuous variant version of FOA has been proven to be a powerful evolutionary approach …
L Huang, S Zhao, Y Xiong - Complex System Modeling and …, 2024 - ieeexplore.ieee.org
The research on complex workshop scheduling methods has important academic significance and has wide applications in industrial manufacturing. Aiming at the job shop …