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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
16 years 25 days 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
16 years 8 days 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 7 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 10 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 10 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