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.<p></p>
History
Open access
Yes
Language
eng
Copyright notice
All rights reserved
Editor/Contributor(s)
Vu Le, Chee Peng Lim
Pagination
109 p.
Degree type
Masters
Degree name
MEng
Thesis faculty
Institute for Intelligent Systems Research and Innovation
Thesis school
Institute for Intelligent Systems Research and Innovation