Title
Evolving cell array configurations using CGP
Abstract
A cell array is a proposed type of custom FPGA, where digital circuits can be formed from interconnected configurable cells. In this paper we have presented a means by which CGP might be adapted to evolve configurations of a proposed cell array. As part of doing so, we have suggested an additional genetic operator that exploits modularity by copying sections of the genome within a solution, and investigated its efficacy. Additionally, we have investigated applying selection pressure for parsimony during functional evolution, rather than in a subsequent stage as proposed in other work. Our results show that solutions to benchmark problems can be evolved with a good degree of efficiency, and that compact solutions can be found with no significant impact on the required number of circuit evaluations.
Year
DOI
Venue
2011
10.1007/978-3-642-20407-4_7
EuroGP
Keywords
Field
DocType
configurable cell,proposed cell array,digital circuit,cell array,custom fpga,evolving cell array,benchmark problem,compact solution,additional genetic operator,circuit evaluation,proposed type,genetic operator,digital circuits
Genetic operator,Digital electronics,Logic gate,Computer science,Parallel computing,Algorithm,Field-programmable gate array,Theoretical computer science,Genetic programming,Modularity,Cellular array
Conference
Volume
ISSN
Citations 
6621
0302-9743
1
PageRank 
References 
Authors
0.36
13
5
Name
Order
Citations
PageRank
Paul Bremner172.14
Mohammad Samie2539.35
Gabriel Dragffy38012.26
Anthony G. Pipe425539.08
Yang Liu5112.31