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ICMLA
2007
15 years 6 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
CG
2004
Springer
15 years 4 months ago
Procedural 3D texture synthesis using genetic programming
The automatic synthesis of procedural textures for 3D surfaces using genetic programming is investigated. Genetic algorithms employ a search strategy inspired by Darwinian natural...
Adam Hewgill, Brian J. Ross
HIS
2008
15 years 6 months ago
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior
In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specif...
Núria Macià, Albert Orriols-Puig, Es...
ICGA
1993
75views Optimization» more  ICGA 1993»
15 years 5 months ago
Structure and Performance of Fine-Grain Parallelism in Genetic Search
Within the parallel genetic algorithm framework, there currently exists a growing dichotomy between coarse-pain and fine-grain parallel architectures. This paper attempts to chara...
Shumeet Baluja
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
15 years 8 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...