Abstract
This paper introduces a Multiagent System (MAS) for optimal resource planning in non-linear systems. The distributed planning strategy, which is based on interaction of agents, is composed by two phases. The first one uses an iterative double auction based protocol and allows requesting for getting back the previously allocated resources in order to establish a better planning. The second phase takes the previous resource allocation for finding better alternative paths. The proposal has been applied into our house-lab power system for optimize the use of renewable power supplies. Power production and requirements are simulated using the average of power consumption measures of each component.
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© 2012 Springer-Verlag Berlin Heidelberg
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Valdivieso-Sarabia, R.J., Ferrandez-Pastor, F.J., Garcia-Chamizo, J.M. (2012). Distributed Optimization of Finite Resource Planning for Asincronous and Non-linear Systems: Application to Power Management. In: Demazeau, Y., Müller, J., RodrÃguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_23
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DOI: https://doi.org/10.1007/978-3-642-28786-2_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28785-5
Online ISBN: 978-3-642-28786-2
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