High-Performance Parallel Implementation of Genetic Algorithm on FPGA

Genetic algorithms (GAs) are used to solve search and optimization problems in which an optimal solution can be found using an iterative process with probabilistic and non-deterministic transitions. However, depending on the problem’s nature, the time required to find a solution can be high in seque...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 38; H. 9; S. 4014 - 4039
Hauptverfasser:	Torquato, Matheus F., Fernandes, Marcelo A. C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2019 Springer Nature B.V
Schlagworte:	Circuits and Systems Electrical Engineering Electronics and Microelectronics Engineering Field programmable gate arrays Genetic algorithms Hardware Instrumentation Iterative methods Optimization Signal,Image and Speech Processing Reconfigurable computing Parallel implementation FPGA Genetic algorithms
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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