DocumentCode :
1254315
Title :
Generic systolic array for genetic algorithms
Author :
Megson, G.M. ; Bland, I.M.
Author_Institution :
Dept. of Comput. Sci., Reading Univ., UK
Volume :
144
Issue :
2
fYear :
1997
fDate :
3/1/1997 12:00:00 AM
Firstpage :
107
Lastpage :
119
Abstract :
The authors present a systolic design for a simple GA mechanism which provides high throughput and unidirectional pipelining by exploiting the inherent parallelism in the genetic operators. The design computes in O(N+G) time steps using O(N2) cells where N is the population size and G is the chromosome length. The area of the device is independent of the chromosome length and so can be easily scaled by replicating the arrays or by employing fine-grain migration. The array is generic in the sense that it does not rely on the fitness function and can be used as an accelerator for any GA application using uniform crossover between pairs of chromosomes. The design can also be used in hybrid systems as an add-on to complement existing designs and methods for fitness function acceleration and island-style population management
Keywords :
encoding; genetic algorithms; logic design; systolic arrays; chromosome length; fitness function; generic systolic array; genetic algorithms; hybrid systems; inherent parallelism; island-style population management; systolic design; unidirectional pipelining;
fLanguage :
English
Journal_Title :
Computers and Digital Techniques, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2387
Type :
jour
DOI :
10.1049/ip-cdt:19971126
Filename :
591786
Link To Document :
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