DocumentCode :
1702372
Title :
SPARC-GAP: a parallel genetic algorithm processing platform
Author :
York, T.A. ; Patrick, D. ; Stinchcombe, J. ; Szolkowski, M.S. ; Tyrell, S.G. ; Green, P.R.
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Manchester Inst. of Sci. & Technol., UK
fYear :
1994
fDate :
2/1/1994 12:00:00 AM
Firstpage :
42491
Lastpage :
42494
Abstract :
Genetic algorithms (GA) have emerged as a powerful technique for solving NP-complete problems, most notably those requiring optimisation of a system within a given set of constraints. The authors propose a novel attempt to realise a relatively low-cost parallel processing platform hosted on a Sun workstation that will enable unimpeded exploration of genetic algorithms. The system will be implemented on the SPARC-GAP platform
Keywords :
genetic algorithms; parallel algorithms; parallel architectures; parallel machines; NP-complete problems; SPARC-GAP platform; Sun workstation; low-cost parallel processing platform; optimisation; parallel genetic algorithm processing platform;
fLanguage :
English
Publisher :
iet
Conference_Titel :
High Performance Applications of Parallel Architectures, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
280310
Link To Document :
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