Hybrid evolutionary techniques for constrained optimisation design

Nema, S (2012) Hybrid evolutionary techniques for constrained optimisation design Doctor of Philosophy thesis, University of Liverpool.

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Abstract

This thesis a research program in which novel and generic optimisation methods were developed so that can be applied to a multitude of mathematically modelled business problems which the standard optimisation techniques often fail to deal with. The continuous and mixed discrete optimisation methods have been investigated by designing new approaches that allow users to more effectively tackle difficult optimisation problems with a mix of integer and real valued variables. The focus of this thesis presents practical suggestions towards the implementation of hybrid evolutionary approaches for solving optimisation problems with highly structured constraints. This work also introduces a derivation of the different optimisation methods that have been reported in the literature. Major theoretical properties of the new methods have been presented and implemented. Here we present detailed description of the most essential steps of the implementation. The performance of the developed methods is evaluated against real-world benchmark problems, and the numerical results of the test problems are found to be competitive compared to existing methods.

Item Type:	Thesis (Doctor of Philosophy)
Additional Information:	Date: 2010-11 (completed)
Subjects:	?? TA ??
Divisions:	Faculty of Science & Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	10 Jan 2011 11:27
Last Modified:	02 Aug 2022 07:11
DOI:	10.17638/00001458
Supervisors:	Ralph, J
URI:	https://livrepository.liverpool.ac.uk/id/eprint/1458
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