The FUELGEN alternative: an evolutionary approach. The architecture
Zhao, J., Knight, B., Nissan, E., Petridis, M. and Soper, A.J. ORCID: 0000-0002-0901-9803 (1998) The FUELGEN alternative: an evolutionary approach. The architecture. New Review of Applied Expert Systems, 4. pp. 177-183. ISSN 1361-0244
Full text not available from this repository.Abstract
This paper introduces a few architectural concepts from FUELGEN, that generates a "cloud" of reload patterns, like the generator in the FUELCON expert system, but unlike that generator, is based on a genetic algorithm. There are indications FUELGEN may outperform FUELCON and other tools as reported in the literature, in well-researched case studies, but careful comparisons have to be carried out. This paper complements the information in two other recent papers on FUELGEN. Moreover, a sequel project is outlined.
Item Type: | Article |
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Additional Information: | [1] The New Review of Applied Expert Systems was subsequently known as the New Review of Applied Expert Systems and Emerging Technologies. |
Uncontrolled Keywords: | computer architecture, genetic algorithms, trees (mathematics), FUELGEN expert system, expert systems |
Subjects: | Q Science > QC Physics |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Science School of Computing & Mathematical Sciences > Department of Mathematical Sciences |
Related URLs: | |
Last Modified: | 14 Oct 2016 08:59 |
URI: | http://gala.gre.ac.uk/id/eprint/97 |
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