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CEC
2008
IEEE
14 years 6 months ago
Policy evolution with Genetic Programming: A comparison of three approaches
— In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subt...
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pa...
CEC
2008
IEEE
14 years 6 months ago
Evolution of image filters on graphics processor units using Cartesian Genetic Programming
— Graphics processor units are fast, inexpensive parallel computing devices. Recently there has been great interest in harnessing this power for various types of scientific comp...
Simon Harding
CEC
2008
IEEE
14 years 6 months ago
Semantically driven crossover in genetic programming
—Crossover forms one of the core operations in genetic programming and has been the subject of many different investigations. We present a novel technique, based on semantic anal...
Lawrence Beadle, Colin G. Johnson
ICIRA
2009
Springer
200views Robotics» more  ICIRA 2009»
14 years 6 months ago
Classifying 3D Human Motions by Mixing Fuzzy Gaussian Inference with Genetic Programming
This paper combines the novel concept of Fuzzy Gaussian Inference(FGI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FGI ...
Mehdi Khoury, Honghai Liu
ICIC
2009
Springer
14 years 6 months ago
Function Sequence Genetic Programming
Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP)...
Shixian Wang, Yuehui Chen, Peng Wu
ICANNGA
2009
Springer
203views Algorithms» more  ICANNGA 2009»
14 years 6 months ago
NEAT in HyperNEAT Substituted with Genetic Programming
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
Zdenek Buk, Jan Koutník, Miroslav Snorek
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 6 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 6 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 6 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai
ISDA
2009
IEEE
14 years 6 months ago
A Genetic Programming-Based Algorithm for Composing Web Services
—Web Services are interfaces that describe a collection of operations that are network-accessible through standardized web protocols. When a required operation is not found, seve...
Manuel Mucientes, Manuel Lama, Miguel I. Couto