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    GECCO
    2004
    Springer
    104views Optimization» more  GECCO 2004»
    A Genetic Approach for Gene Selection on Microarray Expression Data
    13 years 11 months ago
    A Genetic Approach for Gene Selection on Microarray Expression Data
    Download  www.cs.york.ac.uk
    Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
    Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon
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    ECAL
    2005
    Springer
    115views Artificial Intelligence» more  ECAL 2005»
    On the Mean Convergence Time of Multi-parent Genetic Algorithms Without Selection
    13 years 11 months ago
    On the Mean Convergence Time of Multi-parent Genetic Algorithms Without Selection
    Download  www.cs.ccu.edu.tw
    This paper investigates genetic drift in multi-parent genetic algorithms (MPGAs). An exact model based on Markov chains is proposed to formulate the variation of gene frequency. Th...
    Chuan-Kang Ting
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    PPSN
    1992
    Springer
    174views Distributed And Parallel Com...» more  PPSN 1992»
    Nonstationary Function Optimization using the Structured Genetic Algorithm
    13 years 10 months ago
    Nonstationary Function Optimization using the Structured Genetic Algorithm
    Download  ais.cs.memphis.edu
    In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
    Dipankar Dasgupta, Douglas R. McGregor
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    GECCO
    2007
    Springer
    179views Optimization» more  GECCO 2007»
    Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
    13 years 12 months ago
    Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
    Download  www.cs.bham.ac.uk
    Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
    Alper Küçükural, Reyyan Yeniterzi...
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    GECCO
    2005
    Springer
    178views Optimization» more  GECCO 2005»
    A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
    13 years 11 months ago
    A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
    Download  www.cs.bham.ac.uk
    In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
    Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
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