TY - GEN
T1 - Designing a compact Genetic Algorithm with minimal FPGA resources
AU - León-Javier, Alejandro
AU - Moreno-Armendáriz, Marco A.
AU - Cruz-Cortés, Nareli
PY - 2009
Y1 - 2009
N2 - The Compact Genetic Algorithms (cGA) are searching methods used in different engineering applications. These algorithms have interesting features such as their capability to operate with very low memory resources while solving complex optimization problems. In this paper we present a novel design for the implementation of a cGA on a FPGA. This design is modular, so its components would be used for designing other Evolutionary Algorithms.
AB - The Compact Genetic Algorithms (cGA) are searching methods used in different engineering applications. These algorithms have interesting features such as their capability to operate with very low memory resources while solving complex optimization problems. In this paper we present a novel design for the implementation of a cGA on a FPGA. This design is modular, so its components would be used for designing other Evolutionary Algorithms.
KW - Compact Genetic Algorithm
KW - FPGA implementation
KW - Minimal resources
UR - http://www.scopus.com/inward/record.url?scp=79951763071&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03156-4_35
DO - 10.1007/978-3-642-03156-4_35
M3 - Contribución a la conferencia
SN - 9783642031557
T3 - Advances in Intelligent and Soft Computing
SP - 349
EP - 357
BT - Advances in Computational Intelligence
PB - Springer Verlag
T2 - 2nd International Workshop on Advanced Computational Intelligence, IWACI 2009
Y2 - 22 June 2009 through 23 June 2009
ER -