Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
350952 | Computers in Human Behavior | 2011 | 7 Pages |
Abstract
This paper presents a proposal based on an evolutionary algorithm to impute missing observations in multivariate data. A genetic algorithm based on the minimization of an error function derived from their covariance matrix and vector of means is presented.All methodological aspects of the genetic structure are presented. An extended explanation of the design of the fitness function is provided. An application example is solved by the proposed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Juan C. Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello,