Consideration of Searching Ability for Distributed Probabilistic Model-building Genetic Algorithm
نویسندگان
چکیده
Distributed Probabilistic Model-building Genetic Algorithms (DPMBGAs) are a new type of Genetic Algorithm. In the DPMBGA, when the offspring are generated, Principal Component Analysis (PCA) considers the correlations among the design variables. Moreover, this model applies the island model to maintain population diversity. The effectiveness of DPMBGA has been demonstrated through optimization of continuous functions. This paper describes the effectiveness of the parameters in the DPMBGA. Experiments indicated that these parameters are important factor for maintenance of the diversity of the population.
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تاریخ انتشار 2005