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EMO
2005
Springer
110views Optimization» more  EMO 2005»
16 years 7 days ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
CG
2004
Springer
15 years 6 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 8 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...
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
15 years 10 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...
SPAA
1993
ACM
15 years 10 months ago
On Gazit and Miller's Parallel Algorithm for Planar Separators: Achieving Greater Efficiency Through Random Sampling
We show how to obtain a work-efficient parallel algorithm for finding a planar separator. The algorithm requires O(rz’ ) time for any given positive constant e.
Philip N. Klein