This study presents CMOEWOA, a novel algorithm designed to improve solution diversity and convergence for complex multi-objective optimisation problems. CMOEWOA outperforms other algorithms in terms of convergence and diversity. Additionally, the study evaluates the performance of CMOEWOA in 21 mechanical design problems to assess its usefulness in real-world applications.
History
Pagination
109 p.
Open access
Yes
Language
eng
Degree type
Masters
Degree name
MEng
Copyright notice
All rights reserved
Editor/Contributor(s)
Vu Le, Chee Peng Lim
Faculty
Institute for Intelligent Systems Research and Innovation
School
Institute for Intelligent Systems Research and Innovation