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Control of Bloat in Genetic Programming by Means of the Island Model

 

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Opened Access Control of Bloat in Genetic Programming by Means of the Island Model
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Author: Fernández de Vega, Francisco
Galeano Gil, German
Gómez Pulido, Juan Antonio
Guisado Lízar, José Luís
Department: Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
Date: 2004
Published in: PPSN 2004: 8th International Conference on Parallel Problem Solving from Nature (2004), p 263-271
ISBN/ISSN: 978-3-540-23092-2
0302-9743
Document type: Presentation
Abstract: 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.
Cite: 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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Format: PDF

URI: https://hdl.handle.net/11441/73954

DOI: 10.1007/978-3-540-30217-9_27

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