Ensemble Mutation Remora Optimization Algorithm for Global Optimization-Reference-Cited by-同舟云学术

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Ensemble Mutation Remora Optimization Algorithm for Global Optimization

Published:2023-11-17 Issue: Volume: Page:320-325
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Jia Heming¹,Li Zhengbang²,Wu Di³,Li Yongchao¹,Li Shanglong²,Du Yilong⁴

Affiliation:

1. School of Information Engineering, Sanming University,Sanming,China

2. School of Computer Science and Mathematics, Fujian University of Technology,Fuzhou,China

3. School of Education and Music, Sanming University,Sanming,China

4. School of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University,Daqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451166.pdf?arnumber=10451166

Reference29 articles.

1. An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems

2. A modified seahorse optimization algorithm based on chaotic maps for solving global optimization and engineering problems

3. White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems

4. An Improved Aquila Optimizer Based on Search Control Factor and Mutations

5. Crayfish optimization algorithm

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