Abstract
A significant area of research in the field of hybrid communications is the Network Design Problem (NDP) [1]. The NDP is an NP complete problem [1] that focuses on identifying the optimal network topology for transmitting commodities between nodes, under constraints such as bandwidth, limited compatible directed channels, and link and commodity costs. The NDP focuses on designing a flexible network while trying to achieve optimal flow or routing. If a link (or arc) is used, then an associated fixed cost of the edge is incurred. In addition, there is a cost for using the arc depending on the flow. The solution is a network topology connecting all of the nodes that minimizes the total system cost.
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References
Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network Flows: Theory, Algorithms, and Applications. Prentice Hall, Upper Saddle River (1993)
Garner, R.: Heeuristically Driven Search Methods for Topology Control in Directional Wireless Networks. Masters Thesis Air Force Institute of Technology, Wright-Patterson AFB, OH (2007)
Dorigo, M., Maniezzo, V., Colorni, A.: The Ant System: Optimization by a Colony of Cooperating Agents. IEEE Transactions of Systems, Man and Cybermetrics Part B 26, 1–13 (1996)
Dorigo, M., Gambardella, L.M.: Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation 1, 53–66 (1997)
de Campos, L., Fernandez-Luna, J., Gamez, J., Puerta, J.: Ant Colony Optimization for Learning Bayesian Networks. International Journal of Approximate Reasoning, 291–311 (2002)
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© 2008 Springer-Verlag Berlin Heidelberg
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Oimoen, S.C., Peterson, G.L., Hopkinson, K.M. (2008). Network Formation Using Ant Colony Optimization. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2008. Lecture Notes in Computer Science, vol 5217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87527-7_47
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DOI: https://doi.org/10.1007/978-3-540-87527-7_47
Publisher Name: Springer, Berlin, Heidelberg
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