A Survey of Estimation of Distribution Algorithms Based on Copulas
نویسندگان
چکیده
The use of probabilistic models based on copulas in Estimation of Distribution Algorithms (EDAs) has been identi ed as an emerging research trend on these algorithms for continuous domains. By using copulas, the e ect of the dependence structure and the margins in a joint distribution can be represented separately. Consequently, EDAs based on copulas inherit these characteristics and are able to build exible search distributions. This paper presents a survey of the EDAs based on copulas that have been proposed in the literature between 2007 and 2012. We also identify di erent aspects that, in our opinion, should be considered in order to attain a deeper understanding of EDAs based on copulas.
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