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» Combining genetic algorithms with squeaky-wheel optimization
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GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
13 years 11 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
ARCS
2012
Springer
12 years 3 months ago
Fast Scenario-Based Design Space Exploration using Feature Selection
: This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By...
Peter van Stralen, Andy D. Pimentel
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 1 months ago
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Emily M. Zechman, S. Ranji Ranjithan
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
14 years 1 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
BMCBI
2008
109views more  BMCBI 2008»
13 years 7 months ago
Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis
Background: Correctly merged data sets that have been independently genotyped can increase statistical power in linkage and association studies. However, alleles from microsatelli...
Angela P. Presson, Eric M. Sobel, Paivi Pajukanta,...