Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS

Kok, Jonathan (2014) Design methodologies and architectures of hardware-based evolutionary algorithms for aerospace optimisation applications on FPGAS. PhD by Publication, Queensland University of Technology.

Abstract

This thesis is a study of new design methods for allowing evolutionary algorithms to be more effectively utilised in aerospace optimisation applications where computation needs are high and computation platform space may be restrictive. It examines the applicability of special hardware computational platforms known as field programmable gate arrays and shows that with the right implementation methods they can offer significant benefits. This research is a step forward towards the advancement of efficient and highly automated aircraft systems for meeting compact physical constraints in aerospace platforms and providing effective performance speedups over traditional methods.

Impact and interest:

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276 since deposited on 09 Jul 2014
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ID Code: 72904
Item Type: QUT Thesis (PhD by Publication)
Supervisor: Gonzalez, Felipe, Campbell, Duncan A., Kelson, Neil A., & Bruggemann, Troy S.
Keywords: Evolutionary algorithm, Evolutionary computation, Field programmable gate array, Genetic algorithm, Heuristics, Multi-objective evolutionary algorithm, Multi-objective optimisation, Path planning, Travelling salesman problem, Unmanned aerial vehicle
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 09 Jul 2014 06:13
Last Modified: 03 Sep 2015 04:05

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