Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601332
Title: A practical investigation of parallel genetic algorithms and their application to the structuring of artificial neural networks
Author: Macfarlane, Donald
Awarding Body: University of Buckingham
Current Institution: University of Buckingham
Date of Award: 1992
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Abstract:
Efficient and scalable implementations of parallel genetic algorithms (PGAs) have been devised for an affordable MIMD parallel processing system. PGAs with structured populations have been compared with traditional genetic algorithms and found to give superior search performance. The parallel processing system constructed has enabled empirical research into the evolutionary approach to constructing problem-specific artificial neural networks (ANNs). This work, involving a real world speech recognition problem, has shown that a high level parametric description of ANNs is an effective method of encoding their properties in a form suitable for manipulation by genetic algorithms.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.601332  DOI: Not available
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