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