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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 4 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
SC
2000
ACM
15 years 3 months ago
Automatically Tuned Collective Communications
The performance of the MPI’s collective communications is critical in most MPI-based applications. A general algorithm for a given collective communication operation may not giv...
Sathish S. Vadhiyar, Graham E. Fagg, Jack Dongarra
CISIM
2008
IEEE
15 years 5 months ago
Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
Fatos Xhafa, Bernat Duran, Ajith Abraham, Keshav P...
LION
2009
Springer
160views Optimization» more  LION 2009»
15 years 5 months ago
Corridor Selection and Fine Tuning for the Corridor Method
In this paper we present a novel hybrid algorithm, in which ideas from the genetic algorithm and the GRASP metaheuristic are cooperatively used and intertwined to dynamically adjus...
Marco Caserta, Stefan Voß
EVOW
2007
Springer
15 years 2 months ago
Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms
MicroRNAs (miRNAs) form a large functional family of small noncoding RNAs and play an important role as posttranscriptional regulators, by repressing the translation of mRNAs. Rece...
Jin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae ...