Artículo
Use of a genetic algorithm for building efficient choice designs
Autor/es | Muñuzuri, Jesús
Cortés, Pablo Rodríguez Palero, María Grosso-de la Vega, Rafael |
Departamento | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II |
Fecha de publicación | 2012 |
Fecha de depósito | 2016-06-29 |
Publicado en |
|
Resumen | Choice design building based on D-error minimization can be accomplished either by using predefined β values or by assuming probabilistic distributions for them. Several mathematical techniques have been used for both ... Choice design building based on D-error minimization can be accomplished either by using predefined β values or by assuming probabilistic distributions for them. Several mathematical techniques have been used for both approaches in the past, resulting in algorithms that obtain efficient designs, which guarantee the high quality of the information that will be provided by the respondents. This paper proposes the use of a genetic algorithm for dealing with the problem of building designs with minimum D-error, describing the technique and applying it successfully to several benchmark cases. Design matrices, D-error values, percentages of level overlap and computation times are provided for each case. |
Cita | Muñuzuri Sanz, J., Cortés, P., Rodríguez Palero, M. y Grosso-de la Vega, R. (2012). Use of a genetic algorithm for building efficient choice designs. International Journal of Bio-Inspired Computation, 4 (1), 27-32. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Use of a genetic algorithm for ... | 138.8Kb | [PDF] | Ver/ | |