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.


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:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

293 since deposited on 09 Jul 2014
34 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

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 > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 09 Jul 2014 06:13
Last Modified: 22 Jun 2017 14:47

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page