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    » Removing the Genetics from the Standard Genetic Algorithm
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    TSMC
    2002
    93views more  TSMC 2002»
    Statistical analysis of the main parameters involved in the design of a genetic algorithm
    13 years 8 months ago
    Statistical analysis of the main parameters involved in the design of a genetic algorithm
    Download  hera.ugr.es
    Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
    Ignacio Rojas, Jesús González, H&eac...
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    RAS
    2000
    130views more  RAS 2000»
    Allocating optimal index positions on tool magazines using genetic algorithms
    13 years 8 months ago
    Allocating optimal index positions on tool magazines using genetic algorithms
    Download  www1.gantep.edu.tr
    This paper presents an optimisation system software developed for the determination of optimal index positions of cutting tools on the automatic tool changer (ATC) or turret magaz...
    Türkay Dereli, I. Hüseyin Filiz
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    ALIFE
    1999
    164views Modeling And Simulation» more  ALIFE 1999»
    An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
    13 years 8 months ago
    An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
    Download  www2.nict.go.jp
    A novel machine language genetic programming system that uses one-dimensional core memories is proposed and simulated. The core is compared to a biochemical reaction space, and in ...
    Hikeaki Suzuki
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    MONET
    2008
    85views more  MONET 2008»
    Population Adaptation for Genetic Algorithm-based Cognitive Radios
    13 years 8 months ago
    Population Adaptation for Genetic Algorithm-based Cognitive Radios
    Download  www.ittc.ku.edu
    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. ...
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    PAMI
    2006
    134views more  PAMI 2006»
    A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
    13 years 8 months ago
    A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
    Download  www.scis.nova.edu
    The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
    Michael Laszlo, Sumitra Mukherjee
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