Sciweavers

GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
14 years 3 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
14 years 3 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 3 months ago
A hybridized genetic parallel programming based logic circuit synthesizer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
14 years 3 months ago
Evolving a real-world vehicle warning system
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen,...
GECCO
2006
Springer
262views Optimization» more  GECCO 2006»
14 years 3 months ago
Genetically programmed strategies for chess endgame
Classical chess engines exhaustively explore moving possibilities from a chessboard configuration to choose what the next best move to play is. In this article we present a new me...
Nicolas Lassabe, Stéphane Sanchez, Herv&eac...
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
14 years 3 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
14 years 3 months ago
Using convex hulls to represent classifier conditions
This papers presents a novel representation of classifier conditions based on convex hulls. A classifier condition is represented by a sets of points in the problem space. These p...
Pier Luca Lanzi, Stewart W. Wilson
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
14 years 3 months ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
GECCO
2006
Springer
142views Optimization» more  GECCO 2006»
14 years 3 months ago
Classifier prediction based on tile coding
This paper introduces XCSF extended with tile coding prediction: each classifier implements a tile coding approximator; the genetic algorithm is used to adapt both classifier cond...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
GECCO
2006
Springer
131views Optimization» more  GECCO 2006»
14 years 3 months ago
The multi-objective constrained assignment problem
Mark P. Kleeman, Gary B. Lamont