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GECCO
2007
Springer
142views Optimization» more  GECCO 2007»
14 years 14 days ago
Graph structured program evolution
Shinichi Shirakawa, Shintaro Ogino, Tomoharu Nagao
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 14 days ago
A new crossover technique for Cartesian genetic programming
Genetic Programming was first introduced by Koza using tree representation together with a crossover technique in which random sub-branches of the parents' trees are swapped ...
Janet Clegg, James Alfred Walker, Julian Francis M...
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
14 years 14 days ago
The reliability of confidence intervals for computational effort comparisons
This paper analyses the reliability of confidence intervals for Koza's computational effort statistic. First, we conclude that dependence between the observed minimum generat...
Matthew Walker, Howard Edwards, Chris H. Messom
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 14 days ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...
GECCO
2007
Springer
206views Optimization» more  GECCO 2007»
14 years 14 days ago
Using code metric histograms and genetic algorithms to perform author identification for software forensics
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
Robert Charles Lange, Spiros Mancoridis

Publication
285views
14 years 14 days ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano
EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
14 years 14 days ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom
EUROGP
2007
Springer
145views Optimization» more  EUROGP 2007»
14 years 14 days ago
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions
This work details an auction-based model for problem decomposition in Genetic Programming classification. The approach builds on the population-based methodology of Genetic Progra...
Peter Lichodzijewski, Malcolm I. Heywood
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
14 years 14 days ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
LION
2010
Springer
239views Optimization» more  LION 2010»
14 years 17 days ago
The EvA2 Optimization Framework
Abstract. We present EvA2, a comprehensive metaheuristic optimization framework with emphasis on Evolutionary Algorithms. It presents a modular structure of interfaces and abstract...
Marcel Kronfeld, Hannes Planatscher, Andreas Zell