Abstract
This paper proposes a methodology to design and implement Evolutionary Algorithms using the Service Oriented Architecture paradigm. This paradigm allows to deal with some of the shortcomings in the Evolutionary Algorithms area, facilitating the development, integration, standardization of services that conform a evolutionary algorithm, and, besides, the dynamic alteration of those elements in runtime. A four-step methodology to design services for Evolutionary Algorithms is presented: identification, specification, implementation and deployment. Also, as an example of application of this methodology, an adaptive algorithm is developed.
This work has been supported in part by FPU research grant AP2009-2942 and projects SIPESCA (G-GI3000/IDIF, under Programa Operativo FEDER de Andalucía 2007-2013), PYR-2014-17 of CEI BIOTIC Granada (GENIL) and ANYSELF (TIN2011-28627-C04-02).
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García-Sánchez, P., Mora, A.M., Castillo, P.A., González, J., Merelo, J.J. (2015). A Methodology to Develop Service Oriented Evolutionary Algorithms. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds) Intelligent Distributed Computing VIII. Studies in Computational Intelligence, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-10422-5_13
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DOI: https://doi.org/10.1007/978-3-319-10422-5_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10421-8
Online ISBN: 978-3-319-10422-5
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