In this paper, we present a framework that supports experimenting with evolutionary hardware design. We describe the framework’s modules for composing evolutionary optimizers an...
Since their invention in the 1980s, the logic density of FPGAs has increased exponentially with time. This increase of logic density first led to the development of synthesisable ...
Gildas Genest, Richard Chamberlain, Robin J. Bruce
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
This paper describes a new FPGA implementation of a system for evolutionary image filter design. Three parallel search algorithms are compared. An optimal mutation rate and the q...
Rapid-prototyping of commercial devices and the demanding requirements for flexible hardware in mobile applications have driven the raise of reconfigurable hardware. The adaptatio...