Deakin University
Browse

Enhanced Whale Optimisation Algorithms and Their Applications to Real-world Problems

Download (7.36 MB)
thesis
posted on 2024-11-20, 04:58 authored by Zheng Cai
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

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC