Abstract | ||
---|---|---|
The present work deals with the implementation of an automatic random tree generator on an FPGA, this implementation is intended to be part of a complete genetic programming embedded system. We propose two methods for a matrix implementations and one for a vector implementation. All trees in the population are created in concurrent processes leading to significant time savings. We present pseudocode and results of hardware consumption for the three implementations. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1145/2908961.2931665 | GECCO (Companion) |
Keywords | Field | DocType |
FPGA, Genetic Programming, GSGP | Random tree,Population,Computer science,Matrix (mathematics),Parallel computing,Field-programmable gate array,Implementation,Genetic programming,Pseudocode | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Carlos A. Goribar Jiménez | 1 | 0 | 0.34 |
Yazmin Maldonado | 2 | 93 | 6.20 |
Leonardo Trujillo | 3 | 41 | 11.33 |