Learning structure illuminates black boxes – an introduction into Estimation of Distribution Algorithms
نویسندگان
چکیده
This chapter serves as an introduction to estimation of distribution algorithms. Estimation of distribution algorithms are a new paradigm in evolutionary computation. State-of-the-art EDAs consistently outperform classical genetic algorithms on a broad range of problems. We review the fundamental principles and algorithms that are necessary to understand EDA research. We focus on EDAs for the discrete and the continuous problem domains and discuss the differences between the two.
منابع مشابه
Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms
This chapter serves as an introduction to estimation of distribution algorithms (EDAs). Estimation of distribution algorithms are a new paradigm in evolutionary computation. They combine statistical learning with population-based search in order to automatically identify and exploit certain structural properties of optimization problems. State-of-the-art EDAs consistently outperform classical g...
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