Principles in the Evolutionary Design of Digital Circuits—Part I
Genetic Programming and Evolvable Machines
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
On the completeness of the polymorphic gate set
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Reconfigurable multi-function logic based on graphene P-N junctions
Proceedings of the 47th Design Automation Conference
A method for design of impulse bursts noise filters optimized for FPGA implementations
Proceedings of the Conference on Design, Automation and Test in Europe
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Multifunctional (or polymorphic) gates are capable of performing two or more logic functions according to the setting of control signals. They can be considered as building blocks for new and cheap reconfigurable chips. In this paper, we utilized multifunctional components that can be implemented using multifunctional gates as building blocks of image filters. We applied genetic programming to evolve image filters performing different filtering tasks under different settings of control signals. Evolved solutions exhibit a significant reduction in utilized operations and interconnects w.r.t. the multiplexing of conventional solutions.