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    A self-organizing random immigrants genetic algorithm for dynamic optimization problems 

    Tinos, Renato; Yang, Shengxiang (Springer, 2007-09-01)
    In this paper a genetic algorithm is proposed where the worst individual and individuals with indices close to its index are replaced in every generation by randomly generated individuals for dynamic optimization problems. ...

    A hybrid immigrants scheme for genetic algorithms in dynamic environments 

    Tinos, Renato; Yang, Shengxiang (Springer, 2007-07-01)
    Dynamic optimization problems are a kind of optimization problems that involve changes over time. They pose a serious challenge to traditional optimization methods as well as conventional genetic algorithms since the goal ...
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    AuthorTinos, Renato (2)
    Yang, Shengxiang (2)
    SubjectDynamic optimization problems (2)
    Genetic algorithms (2)
    Random immigrants (2)
    dualism (1)Elitism-based immigrants (1)Self-organized criticality (1)... View MoreDate Issued2007 (2)Has File(s)Yes (2)

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
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