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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 2 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 2 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
KES
2006
Springer
13 years 8 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
EH
2003
IEEE
247views Hardware» more  EH 2003»
14 years 2 months ago
Evolvable Building Blocks for Analog Fuzzy Logic Controllers
This work discusses the use of an Evolvable Hardware (EHW) platform in the synthesis of analog electronic circuits for Fuzzy Logic Controllers. A Fuzzy Logic Controller (FLC) is d...
Jorge Luís Machado do Amaral, José F...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 2 months ago
Comparison of tree and graph encodings as function of problem complexity
In this paper, we analyze two general-purpose encoding types, trees and graphs systematically, focusing on trends over increasingly complex problems. Tree and graph encodings are ...
Michael D. Schmidt, Hod Lipson