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» Modular Neural Networks Evolved by Genetic Programming
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FLAIRS
2006
14 years 10 months ago
Improving Modularity in Genetic Programming Using Graph-Based Data Mining
We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highl...
Istvan Jonyer, Akiko Himes
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 2 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
MSWIM
2005
ACM
15 years 3 months ago
YAES: a modular simulator for mobile networks
Developing network protocols for mobile wireless systems is a complex task, and most of the existing simulator frameworks are not well suited for experimental development. The YAE...
Ladislau Bölöni, Damla Turgut
EUROGP
2004
Springer
129views Optimization» more  EUROGP 2004»
15 years 2 months ago
Evolution and Acquisition of Modules in Cartesian Genetic Programming
The paper presents for the first time automatic module acquisition and evolution within the graph based Cartesian Genetic Programming method. The method has been tested on a set of...
James Alfred Walker, Julian Francis Miller
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 3 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....