کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
395461 665981 2008 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Introducing assignment functions to Bayesian optimization algorithms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Introducing assignment functions to Bayesian optimization algorithms
چکیده انگلیسی

In this paper, we improve Bayesian optimization algorithms by introducing proportionate and rank-based assignment functions. A Bayesian optimization algorithm builds a Bayesian network from a selected sub-population of promising solutions, and this probabilistic model is employed to generate the offspring of the next generation. Our method assigns each solution a relative significance based on its fitness, and this information is used in building the Bayesian network model. These assignment functions can improve the quality of the model without performing an explicit selection on the population. Numerical experiments demonstrate the effectiveness of this method compared to a conventional BOA.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 178, Issue 1, 2 January 2008, Pages 152–163
نویسندگان
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