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CEC
2009
IEEE
14 years 3 months ago
Gate-level optimization of polymorphic circuits using Cartesian Genetic Programming
— Polymorphic digital circuits contain ordinary and polymorphic gates. In the past, Cartesian Genetic Programming (CGP) has been applied to synthesize polymorphic circuits at the...
Zbysek Gajda, Lukás Sekanina
IJCAI
2001
13 years 10 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
ISCI
2008
137views more  ISCI 2008»
13 years 8 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
PPSN
1994
Springer
14 years 17 days ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe
EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
14 years 6 days ago
Exploiting Reflection in Object Oriented Genetic Programming
Most programs currently written by humans are object-oriented ones. Two of the greatest benefits of object oriented programming are the separation of interface from implementation,...
Simon M. Lucas