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    GECCO
    2006
    Springer
    218views Optimization» more  GECCO 2006»
    A survey of mutation techniques in genetic programming
    13 years 10 months ago
    A survey of mutation techniques in genetic programming
    Download  www.cs.bham.ac.uk
    The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
    Alan Piszcz, Terence Soule
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    GECCO
    2008
    Springer
    157views Optimization» more  GECCO 2008»
    Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
    13 years 8 months ago
    Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
    Download  www.cs.bham.ac.uk
    Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
    Ron Breukelaar, Thomas Bäck
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    GPEM
    2002
    95views more  GPEM 2002»
    On Appropriate Adaptation Levels for the Learning of Gene Linkage
    13 years 6 months ago
    On Appropriate Adaptation Levels for the Learning of Gene Linkage
    Download  www.cems.uwe.ac.uk
    A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
    James Smith
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    GECCO
    2005
    Springer
    207views Optimization» more  GECCO 2005»
    Adaptive crossover and mutation in genetic algorithms based on clustering technique
    14 years 15 days ago
    Adaptive crossover and mutation in genetic algorithms based on clustering technique
    Download  www.cs.bham.ac.uk
    Instead of having fixed px and pm, this paper presents the use of fuzzy logic to adaptively tune px and pm for optimization of power electronic circuits throughout the process. By...
    Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong
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    IJCAI
    2007
    271views Artificial Intelligence» more  IJCAI 2007»
    Adaptive Genetic Algorithm with Mutation and Crossover Matrices
    13 years 8 months ago
    Adaptive Genetic Algorithm with Mutation and Crossover Matrices
    Download  repository.ust.hk
    A matrix formulation for an adaptive genetic algorithm is developed using mutation matrix and crossover matrix. Selection, mutation, and crossover are all parameter-free in the se...
    Nga Lam Law, Kwok Yip Szeto
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