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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 11 months ago
Filter approximation using explicit time and frequency domain specifications
We demonstrate that enhanced particle swarm optimization (PSO) can be successfully used to evolve high performance filter approximations. These evolved approximations use sets of ...
Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly
SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 7 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
EAAI
2008
106views more  EAAI 2008»
13 years 7 months ago
The distributed multilevel ant-stigmergy algorithm used at the electric-motor design
This article presents an optimization method used at the electric-motor design. The goal of the optimization was to find the geometrical parameter values that would generate the r...
Peter Korosec, Jurij Silc
CEC
2010
IEEE
13 years 5 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
IPPS
2008
IEEE
14 years 2 months ago
Towards a decentralized architecture for optimization
We introduce a generic framework for the distributed execution of combinatorial optimization tasks. Instead of relying on custom hardware (like dedicated parallel machines or clus...
Marco Biazzini, Mauro Brunato, Alberto Montresor