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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 2 months ago
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors
Mohammed El-Abd, Mohamed S. Kamel
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
14 years 1 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
GECCO
2009
Springer
127views Optimization» more  GECCO 2009»
14 years 2 months ago
BBOB-benchmarking the Rosenbrock's local search algorithm
The restarted Rosenbrock’s optimization algorithm is tested on the BBOB 2009 testbed. The algorithm turned out to be very efficient for functions with simple structure (independ...
Petr Posik
TOG
2012
230views Communications» more  TOG 2012»
12 years 8 days ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
IJON
2006
96views more  IJON 2006»
13 years 9 months ago
Quasi-optimal EASI algorithm based on the Score Function Difference (SFD)
Equivariant Adaptive Separation via Independence (EASI) is one of the most successful algorithms for Blind Source Separation (BSS). However, the user has to choose nonlinearities,...
Samareh Samadi, Massoud Babaie-Zadeh, Christian Ju...