Slime mould algorithm: a comprehensive review of recent variants and applications-Reference-Cited by-同舟云学术

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Slime mould algorithm: a comprehensive review of recent variants and applications

Published:2022-12-16 Issue:1 Volume:54 Page:204-235
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Chen Huiling¹,Li Chenyang²,Mafarja Majdi³⁴,Heidari Ali Asghar¹,Chen Yi¹,Cai Zhennao¹

Affiliation:

1. College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, People’s Republic of China

2. College of Computer Science, Sichuan University, Chengdu, People’s Republic of China

3. Department of Computer Science, Birzeit University, West Bank, Palestine

4. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2022.2153635

Reference127 articles.

1. Enhanced Computational Intelligence Algorithm for Coverage Optimization of 6G Non-Terrestrial Networks in 3D Space

2. HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images

3. An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection

4. BSMA: A novel metaheuristic algorithm for multi-dimensional knapsack problems: Method and comprehensive analysis

5. Optimal Implementation of Photovoltaic and Battery Energy Storage in Distribution Networks

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