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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 6 months ago
Why one must use reweighting in estimation of distribution algorithms
We study the update of the distribution in Estimation of Distribution Algorithms, and show that a simple modification leads to unbiased estimates of the optimum. The simple modiļ...
Fabien Teytaud, Olivier Teytaud
IPPS
2006
IEEE
15 years 6 months ago
Self-stabilizing distributed algorithms for graph alliances
Graph alliances are recently developed global properties of any symmetric graph. Our purpose in the present paper is to design self-stabilizing fault tolerant distributed algorith...
Zhenyu Xu, Pradip K. Srimani
ESANN
2003
15 years 1 months ago
Comparison of neural algorithms for blind source separation in sensor array applications
- A test bed of experiments with real and artificially generated data has been designed to compare the performance of three well-known algorithms for BSS. The main goal of these ex...
Guillermo Bedoya, Sergio Bermejo, Joan Cabestany
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 3 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 3 months ago
Variable Length Genomes for Evolutionary Algorithms
A general variable length genome, called exG, is developed here to address the problems of fixed length representations in canonical evolutionary algorithms. Convergence aspects o...
C.-Y. Lee, E. K. Antonsson