Ponencia
Control of Bloat in Genetic Programming by Means of the Island Model
Autor/es | Fernández de Vega, Francisco
Galeano Gil, German Gómez Pulido, Juan Antonio Guisado Lizar, José Luis |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2004 |
Fecha de depósito | 2018-05-03 |
Publicado en |
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ISBN/ISSN | 978-3-540-23092-2 0302-9743 |
Resumen | This paper presents a new proposal for reducing bloat in Genetic
Programming. This proposal is based in a well-known parallel evolutionary
model: the island model. We firstly describe the theoretical motivation for ... This paper presents a new proposal for reducing bloat in Genetic Programming. This proposal is based in a well-known parallel evolutionary model: the island model. We firstly describe the theoretical motivation for this new approach to the bloat problem, and then we present a set of experiments that gives us evidence of the findings extracted from the theory. The experiments have been performed on a representative problem extracted from the GP field: the even parity 5 problem. We analyse the evolution of bloat employing different settings for the parameters employed. The conclusion is that the Island Model helps to prevent the bloat phenomenon. |
Cita | Fernández de Vega, F., Galeano Gil, G., Gómez Pulido, J.A. y Guisado Lízar, J.L. (2004). Control of Bloat in Genetic Programming by Means of the Island Model. En PPSN 2004: 8th International Conference on Parallel Problem Solving from Nature (263-271), Birmingham, UK: Springer. |
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