A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits.
Frederico José Dias MöllerHeder Soares BernardinoLuciana Brugiolo GonçalvesStênio Sã Rosário Furtado SoaresPublished in: BRACIS (2) (2020)
Keyphrases
- logic circuits
- genetic programming
- reinforcement learning
- functional decomposition
- low power
- gate array
- evolutionary computation
- logic synthesis
- image processing
- tunnel diode
- adaptive mutation
- fitness function
- power dissipation
- power consumption
- signal processing
- evolutionary algorithm
- artificial neural networks
- learning algorithm