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» Convergence Models of Genetic Algorithm Selection Schemes
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APIN
2000
120views more  APIN 2000»
13 years 7 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano
CORR
2008
Springer
189views Education» more  CORR 2008»
13 years 7 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
ICNC
2005
Springer
14 years 1 months ago
Genetic Algorithms for Thyroid Gland Ultrasound Image Feature Reduction
The problem of automatic classification of ultrasound images is addressed. For texture analysis of ultrasound images quantifiable indexes, called features, are used. Classificat...
Ludvík Tesar, Daniel Smutek, Jan Jiskra
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
13 years 11 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...
DSD
2003
IEEE
138views Hardware» more  DSD 2003»
14 years 26 days ago
A Two-step Genetic Algorithm for Mapping Task Graphs to a Network on Chip Architecture
Network on Chip (NoC) is a new paradigm for designing core based System on Chip which supports high degree of reusability and is scalable. In this paper we describe an efficient t...
Tang Lei, Shashi Kumar