A New Model of Parallel Distributed Genetic Algorithms for Cluster Systems: Dual Individual DGAs
نویسندگان
چکیده
A new model of parallel distributed genetic algorithm, Dual Individual Distributed Genetic Algorithm (DuDGA), is proposed. This algorithm frees the user from having to set some parameters because each island of Distributed Genetic Algorithm (DGA) has only two individuals. DuDGA can automatically determine crossover rate, migration rate, and island number. Moreover, compared to simple GA and DGA methods, DuDGA can nd better solutions with fewer analyses. Capability and e ectiveness of the DuDGA method are discussed using four typical numerical test functions.
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