Evolving Teams of Predictors with Linear Genetic Programming

Authors:
Markus Brameier;Wolfgang Banzhaf
Affiliations:
Department of Computer Science, University of Dortmund, 44221 Dortmund, Germany brameier@ls11.informatik.uni-dortmund.de;Department of Computer Science, University of Dortmund, 44221 Dortmund, Germany banzhaf@ls11.informatik.uni-dortmund.de
Venue:
Genetic Programming and Evolvable Machines
Year:
2001

Citing 10
Cited 25

Genetic programming (videotape): the movie

Genetic programming (videotape): the movie
Original Contribution: Stacked generalization

Neural Networks
A compiling genetic programming system that directly manipulates the machine code

Advances in genetic programming
Recombination, selection, and the genetic construction of computer programs

Recombination, selection, and the genetic construction of computer programs
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications

Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Evolution and Optimum Seeking: The Sixth Generation

Evolution and Optimum Seeking: The Sixth Generation
Neural Network Ensembles

IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolving teamwork and coordination with genetic programming

GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
A comparison of linear genetic programming and neural networks inmedical data mining

IEEE Transactions on Evolutionary Computation
Making use of population information in evolutionary artificialneural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks

Genetic Programming and Evolvable Machines
Linear-Graph GP - A New GP Structure

EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Behavioral Diversity and a Probabilistically Optimal GP Ensemble

Genetic Programming and Evolvable Machines
Evolving Evolutionary Algorithms Using Linear Genetic Programming

Evolutionary Computation
Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification

Proceedings of the 9th annual conference on Genetic and evolutionary computation
Novel ways of improving cooperation and performance in ensemble classifiers

Proceedings of the 9th annual conference on Genetic and evolutionary computation
What else is the evolution of PSO telling us?

Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Managing team-based problem solving with symbiotic bid-based genetic programming

Proceedings of the 10th annual conference on Genetic and evolutionary computation
Coevolutionary bid-based genetic programming for problem decomposition in classification

Genetic Programming and Evolvable Machines
Environmental robustness in multi-agent teams

Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Evolution of team composition in multi-agent systems

Proceedings of the 11th Annual conference on Genetic and evolutionary computation
The classification of cancer based on DNA microarray data that uses diverse ensemble genetic programming

Artificial Intelligence in Medicine
A survey and taxonomy of performance improvement of canonical genetic programming

Knowledge and Information Systems
Constrained evolutionary art: interactive flag design

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Cooperative evolution on the intertwined spirals problem

EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Density estimation with genetic programming for inverse problem solving

EuroGP'07 Proceedings of the 10th European conference on Genetic programming
A survey on the application of genetic programming to classification

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Coevolutionary multi-population genetic programming for data classification

Proceedings of the 12th annual conference on Genetic and evolutionary computation
Classification as clustering: A pareto cooperative-competitive gp approach

Evolutionary Computation
Rethinking multilevel selection in genetic programming

Proceedings of the 13th annual conference on Genetic and evolutionary computation
Genetic programming, validation sets, and parsimony pressure

EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Teams of genetic predictors for inverse problem solving

EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces

Genetic Programming and Evolvable Machines
Combining programs to counter code disruption

Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Parallel linear genetic programming for multi-class classification

Genetic Programming and Evolvable Machines

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper applies the evolution of GP teams to different classification and regression problems and compares different methods for combining the outputs of the team programs. These include hybrid approaches where (1) a neural network is used to optimize the weights of programs in a team for a common decision and (2) a realnumbered vector (the representation of evolution strategies) of weights is evolved with each term in parallel. The cooperative team approach results in an improved training and generalization performance compared to the standard GP method. The higher computational overhead of team evolution is counteracted by using a fast variant of linear GP.