Developments in cartesian genetic programming: self-modifying CGP
Abstract Self-modifying Cartesian Genetic Programming (SMCGP) is a general purpose,
graph-based, developmental form of Genetic Programming founded on Cartesian Genetic …
graph-based, developmental form of Genetic Programming founded on Cartesian Genetic …
On synergistic interactions between evolution, development and layered learning
We investigate interactions between evolution, development and lifelong layered learning in
a combination we call evolutionary developmental evaluation (EDE), using a specific …
a combination we call evolutionary developmental evaluation (EDE), using a specific …
Experimental supplements to the computational complexity analysis of genetic programming for problems modelling isolated program semantics
In this paper, we carry out experimental investigations that complement recent theoretical
investigations on the runtime of simple genetic programming algorithms [3, 7]. Crucial …
investigations on the runtime of simple genetic programming algorithms [3, 7]. Crucial …
Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision
Self Modifying Cartesian Genetic Programming (SMCGP) aims to be a general purpose form
of developmental genetic programming. The evolved programs are iterated thus allowing an …
of developmental genetic programming. The evolved programs are iterated thus allowing an …
Fractal gene regulatory networks for control of nonlinear systems
J Krohn, D Gorse - Parallel Problem Solving from Nature, PPSN XI: 11th …, 2010 - Springer
Gene regulatory networks (GRNs) act as cell controllers; we argue that artificial models of
GRNs should therefore make good controllers also. We present the first application of a …
GRNs should therefore make good controllers also. We present the first application of a …
A multi-cellular developmental representation for evolution of adaptive spiking neural microcircuits in an FPGA
It has been shown that evolutionary and developmental processes can be used for
emergence of scalability, robustness and fault-tolerance in hardware. However, designing a …
emergence of scalability, robustness and fault-tolerance in hardware. However, designing a …
Distributed video coding with dynamic virtual channel model estimation
Distributed video coding (DVC) is a new video coding paradigm, based on Slepian&Wolf's
and Wyner&Ziv's information theories. A practical case of DVC is Wyner-Ziv codec based on …
and Wyner&Ziv's information theories. A practical case of DVC is Wyner-Ziv codec based on …
A Practical Investigation into Achieving Bio-Plausibility in Evo-Devo Neural Microcircuits Feasible in an FPGA
H Shayani - 2013 - discovery.ucl.ac.uk
Many researchers has conjectured, argued, or in some cases demonstrated, that bio-
plausibility can bring about emergent properties such as adaptability, scalability, fault …
plausibility can bring about emergent properties such as adaptability, scalability, fault …
A computational model inspired by gene regulatory networks
RML Lopes - 2015 - search.proquest.com
Os algoritmos evolucionários (AE) são procedimentos de pesquisa estocástica em paralelo,
vagamente inspirados pelos conceitos de selecção natural, genética, e hereditariedade …
vagamente inspirados pelos conceitos de selecção natural, genética, e hereditariedade …
Gearnet: Grammatical evolution with artificial regulatory networks
The Central Dogma of Biology states that genes made proteins that made us. This principle
has been revised in order to incorporate the role played by a multitude of regulatory …
has been revised in order to incorporate the role played by a multitude of regulatory …