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MONET
2008
85views more  MONET 2008»
13 years 8 months ago
Population Adaptation for Genetic Algorithm-based Cognitive Radios
Genetic algorithms are best suited for optimization problems involving large search spaces. The problem space encountered when optimizing the transmission parameters of an agile or...
Timothy R. Newman, Rakesh Rajbanshi, Alexander M. ...
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 1 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
EC
2006
136views ECommerce» more  EC 2006»
13 years 8 months ago
Error Thresholds in Genetic Algorithms
The error threshold of replication is an important notion of the quasispecies evolution model; it is a critical mutation rate (error rate) beyond which structures obtained by an e...
Gabriela Ochoa
EVOW
2001
Springer
14 years 20 days ago
Autonomous Photogrammetric Network Design Using Genetic Algorithms
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
Gustavo Olague
GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
14 years 1 months ago
An extension of vose's markov chain model for genetic algorithms
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
Anna Paszynska