An meta-cognitive based logistics human resource modeling and optimal scheduling-Reference-Cited by-同舟云学术

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An meta-cognitive based logistics human resource modeling and optimal scheduling

Published:2024-04 Issue: Volume:130 Page:107760
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Sun Zhe,Tian Zhenlong,Xie Xiangpeng,Sun Zhixin,Zhang Xu,Gong Gangfu

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference27 articles.

1. Strategic study for managing the portfolio of IT courses offered by a corporate training company: an approach in the light of the ELECTRE-MOr multicriteria hybrid method;de Araújo Costa;Int. J. Inf. Technol. Decis. Mak.,2022

2. An improved hybrid swarm intelligence for scheduling iot application tasks in the cloud;Attiya;IEEE Trans. Ind. Inform.,2022

3. Assessment of dynamic swarm heterogeneous clustering in cognitive radio sensor networks;Bhatt;Wirel. Commun. Mob. Comput.,2022

4. An efficient genetic algorithm for multi AGV scheduling problem about intelligent warehouse;Cheng;Robot. Intell. Autom.,2023

5. Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem;Deng;Appl. Soft Comput.,2021

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