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Evolutionary many-objective optimisation based on scalarisation

thesis
posted on 2018-11-07, 00:00 authored by Burhan KhanBurhan Khan
This study overcomes the three major difficulties experienced by the existing multi-objective evolutionary algorithms; computational cost, convergence rate, and loss of diversity of solutions, when applied to the optimisation problems with more than three objectives. The outcome comparisons clearly indicate the significance of the proposed work over numerous state-of-the-art multi-objective evolutionary algorithms.

History

Pagination

191 p.

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

Ph.D

Copyright notice

The author

Editor/Contributor(s)

P Lim, M Johnstone Michael, S Hanoun

Faculty

Institute for Intelligent Systems Research and Innovation