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Title: Hybrid evolutionary techniques for constrained optimisation design
Author: Nema, Salam
ISNI:       0000 0004 2700 217X
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2012
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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.
Supervisor: Goulermas, John Yannis ; Ralph, Jason Sponsor: Knowledge Support Systems Retails Ltd ; Engineering and Physical Sciences Research Council
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
Keywords: TA Engineering (General). Civil engineering (General)