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EUROGP
2004
Springer
129views Optimization» more  EUROGP 2004»
16 years 2 days 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
2004
Springer
122views Optimization» more  GECCO 2004»
16 years 2 days ago
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
16 years 2 days ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
16 years 2 days ago
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming
A successful industrial application of a novel type biomass estimator based on Genetic Programming (GP) is described in the paper. The biomass is inferred from other available meas...
Arthur K. Kordon, Elsa Jordaan, Lawrence Chew, Gui...
GECCO
2004
Springer
16 years 2 days ago
Hybridizing Evolutionary Testing with the Chaining Approach
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
Phil McMinn, Mike Holcombe
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