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检索条件"主题词=Bayesian optimization algorithms"
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Introducing assignment functions to bayesian optimization algorithms
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INFORMATION SCIENCES 2008年 第1期178卷 152-163页
作者: Munetomo, Masaharu Murao, Naoya Akama, Kiyoshi Hokkaido Univ Informat Initiat Ctr Div Large Scale Comp Syst Sapporo Hokkaido 0600811 Japan Hokkaido Univ Grad Sch Engn Div Syst & Informat Engn Sapporo Hokkaido 0600811 Japan
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 o... 详细信息
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A new real-coded stochastic bayesian optimization algorithm for continuous global optimization
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GENETIC PROGRAMMING AND EVOLVABLE MACHINES 2016年 第2期17卷 145-167页
作者: Moradabadi, Behnaz Ebadzadeh, Mohammad Mahdi Meybodi, Mohammad Reza Amirkabir Univ Technol Dept Comp Engn Tehran Iran
Estimation of distribution algorithms are considered to be a new class of evolutionary algorithms which are applied as an alternative to genetic algorithms. Such algorithms sample the new generation from a probabilist... 详细信息
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A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices  05
A comparison study between genetic algorithms and Bayesian o...
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Genetic and Evolutionary Computation Conference
作者: Mori, Naoki Takeda, Masayuki Matsumoto, Keinosuke Osaka Prefecture Univ Coll Engn Sakai Osaka 5998531 Japan
Genetic algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimation of Distribution algorithms (EDAs) ... 详细信息
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