Effective Structure Learning for Estimation of Distribution Algorithms via L1-Regularized Bayesian Networks
نویسندگان
چکیده
منابع مشابه
Effective Structure Learning for Estimation of Distribution Algorithms via L1-Regularized Bayesian Networks
Estimation of distribution algorithms (EDAs), as an extension of genetic algorithms, samples new solutions from the probabilistic model, which characterizes the distribution of promising solutions in the search space at each generation. This paper introduces and evaluates a novel estimation of a distribution algorithm, called L1‐ regularized Bayesian optimization algorithm, ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Robotic Systems
سال: 2013
ISSN: 1729-8814,1729-8814
DOI: 10.5772/54672