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Part of the book series: Studies in Computational Intelligence ((SCI,volume 243))

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Abstract

Several optimalization algorithms have been proposed for the solution of the basic network flow algorithms, such as the minimal and the multiterminal minimal path of a network having cost (distance) function, maximal flow of a capacitated network.

In this paper we present these algorithms in a special network in which on the edges a gain function is given. On the edge (x,y) of the network a t(x,y) transportation cost is defined. In the course of the transportation on the edge (x,y) the goods loose a part of there weight. If one unit of goods is transported from point x to point y then k(x,y) unite of goods arrive at point y, where 0<k(x,y)<1. The above mentioned 3 algorithms are presented in the network having gains.

These problems are interested not only theoretically, but in the practice too. For example the maximal flow problem could be used in the case of electrical network, where we are interested to know the amount of electricity on the edges of the network.

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© 2009 Springer-Verlag Berlin Heidelberg

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Bakó, A., Földesi, P., Szűts, I. (2009). Determination the Basic Network Algorithms with Gains. In: Rudas, I.J., Fodor, J., Kacprzyk, J. (eds) Towards Intelligent Engineering and Information Technology. Studies in Computational Intelligence, vol 243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03737-5_32

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  • DOI: https://doi.org/10.1007/978-3-642-03737-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03736-8

  • Online ISBN: 978-3-642-03737-5

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