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GECCO
2008
Springer

An estimation distribution algorithm with the spearman's rank correlation index

8 years 10 months ago
An estimation distribution algorithm with the spearman's rank correlation index
This article arguments that rank correlation coefficients are powerful association measures and how can they be adopted by EDAs. A new EDA implements the proposed ideas: the Non-Parametric Real-valued Estimation Distribution Algorithm (NOPREDA). The paper fully describes the rank correlation coefficient, and the procedure to build a non parametric model for the probability distribution of the source data. A benchmark of global optimization problems is solved with NOPREDA. Categories and Subject Descriptors: J.2[Physical Sciences and Engineering]Mathematics and Statistics General Terms: Algorithms, Design, Performance.
Arturo Hernández Aguirre, Enrique Raú
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2008
Where GECCO
Authors Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Selma Barba-Moreno
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