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Scale free distribution of nodes in Euclidean graphs

Identyfikatory
Warianty tytułu
Konferencja
Evolutionary Computation and Global Optimization 2006 / National Conference (9 ; 31.05-2.06.2006 ; Murzasichle, Poland)
Języki publikacji
EN
Abstrakty
EN
In the paper we propose a new model of spatial distribution of nodes in graphs which can be represented in the Euclidean space. Such graphs appear in many areas of computer science, for instance wireless networks design, Traveling Salesman and Vehicle Routing Problems. We show analogies between scale-free and Euclidean graphs. Although the distribution of node's degrees in Euclidean graphs is not scale-free, the spatial distribution of node's follows the power law. We analyze distribution of population density in different continents, propose a model to generate such distributions and provide numerical experiments concerning its quality. Finally, the impact of our model on different NP-complete problems in Euclidean graphs is analyzed.
Rocznik
Tom
Strony
107--115
Opis fizyczny
Bibliogr. 17 poz., tab., rys., wykr.
Twórcy
autor
autor
Bibliografia
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  • [5] Aharon Blank and Sorin Solomon. Power laws and cities population. http://arxiv.org/html/cond-mat/0003240, 2000.
  • [6] J.M Braun, M.L., Buhmann. The noisy euclidean traveling salesman problem and learning. Advances in Neural Information Processing Systems, 2002.
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  • [10] D. Johnson and M.A. McGeoch. The Traveling Salesman Problem and its Variations, chapter Experimental analysis of heuristics for the STSP. Kluwer Academic Publishers, 2002.
  • [11] E.L. Lloyd. Broadcast scheduling for tdma in wireless multihop networks. Handbook of Wireless Networks and Mobile Computing, pages 347-370, 2002.
  • [12] A. Mehrotra and M.A. Trick. A column generation approach to graph coloring. Technical report, Carnegie Mellon University, 1995.
  • [13] A.A.Bertossi, R. Battoti and M.A. Bonuccelli. Assigning codes in wireless networks: Bounds and scaling properties. Wireless Networks, pages Vol. 5, 195-209, 1999.
  • [14] S.Krirkpatick, B. Selman, R. Monasson, R. Zecchina and L. Troyansky. Determining computational complexity from characteristic 'phase transition'. Nature, 400:133-137, 1999.
  • [15] Albert-Laszlo Barabasi, Reka Albert, Hawoong Jeong. Diameter of the world-wide web. Nature, page 130, September 1999.
  • [16] Jano I. van Hemert and Neil B. Urquhart. Phase transition properties of clustered traveling salesman problem instances generated with evolutionary computation. In Parallel Problem Solvers from Nature VIII, pages 150-159, 2004.
  • [17] Xiao Fan Wang and Guanrong Chen. Complex networks: Small-word, scale-free and beyond. IEEE Circuits and Systems Magazine, pages 6-20, First quarter 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA9-0052-0011
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