Abstract | ||
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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 |
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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 Bremner | 1 | 7 | 2.14 |
Mohammad Samie | 2 | 53 | 9.35 |
Gabriel Dragffy | 3 | 80 | 12.26 |
Anthony G. Pipe | 4 | 255 | 39.08 |
Yang Liu | 5 | 11 | 2.31 |