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GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
15 years 12 months 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
105views Optimization» more  GECCO 2004»
15 years 12 months ago
Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators
In a series of papers [3-8], Daida et. al. highlighted the difficulties posed to Genetic Programming (GP) by the complexity of the structural search space, and attributed the probl...
Nguyen Xuan Hoai, Robert I. McKay
GECCO
2004
Springer
108views Optimization» more  GECCO 2004»
15 years 12 months ago
The Incremental Pareto-Coevolution Archive
Coevolution can in principle provide progress for problems where no accurate evaluation function is available. An important open question however is how coevolution can be set up s...
Edwin D. de Jong
GECCO
2004
Springer
182views Optimization» more  GECCO 2004»
15 years 12 months ago
On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA
This article summarizes two experiments utilizing building blocks to find analog electronic circuits on a CMOS Field Programmable Transistor Array (FPTA). The FPTA features 256 pr...
Jörg Langeheine, Martin Trefzer, Daniel Br&uu...
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
15 years 12 months 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...