Tabu Search Hybridized with Multiple Neighborhood Structures for the Frequency Assignment Problem

详细信息    查看全文

• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9668
• 期：1
• 页码：157-170
• 全文大小：824 KB
• 参考文献：1.Metzger, B.H.: Spectrum management technique presented at 38th national orsa meeting. Detroit, MI (Fall 1970) (1970)
  2.Garey, M.R., Johnson, D.S.: A Guide to the Theory of NP-Completeness. WH Freemann, New York (1979)MATH
  3.Kapsalis, A., Chardaire, P., Rayward-Smith, V.J., Smith, G.D.: The radio link frequency assignment problem: a case study using genetic algorithms. In: Fogarty, T.C. (ed.) AISB-WS 1995. LNCS, vol. 993, pp. 117–131. Springer, Heidelberg (1995)CrossRef
  4.Crisan, C., Mühlenbein, H.: The frequency assignment problem: a look at the performance of evolutionary search. In: Hao, J.-K., Lutton, E., Ronald, E., Schoenauer, M., Snyers, D. (eds.) AE 1997. LNCS, vol. 1363, pp. 263–273. Springer, Heidelberg (1998)CrossRef
  5.Parsapoor, M., Bilstrup, U.: Ant colony optimization for channel assignment problem in a clustered mobile ad hoc network. In: Tan, Y., Shi, Y., Mo, H. (eds.) ICSI 2013, Part I. LNCS, vol. 7928, pp. 314–322. Springer, Heidelberg (2013)CrossRef
  6.Tiourine, S.R., Hurkens, C.A.J., Lenstra, J.K.: Local search algorithms for the radio link frequency assignment problem. Telecommun. Syst. 13(2–4), 293–314 (2000)CrossRef MATH
  7.Bouju, A., Boyce, J.F., Dimitropoulos, C.H.D., Vom Scheidt, G., Taylor, J.G.: Tabu search for the radio links frequency assignment problem. Applied Decision Technologies (ADT-95) (London) (1995)
  8.Hao, J.-K., Dorne, R., Galinier, P.: Tabu search for frequency assignment in mobile radio networks. J. Heuristics 4(1), 47–62 (1998)CrossRef MATH
  9.Bouju, A., Boyce, J.F., Dimitropoulos, C.H.D., Vom Scheidt, G., Taylor, J.G., Likas, A., Papageorgiou, G., Stafylopatis, A.: Intelligent search for the radio link frequency assignment problem. In: Proceedings of the International Conference on Digital Signal Processing, Cyprus (1995)
  10.Glover, F., Laguna, M.: Tabu search applications. In: Glover, F., Laguna, M. (eds.) Tabu Search, pp. 267–303. Springer, Heidelberg (1997)CrossRef
  11.Mladenović, N., Hansen, P.: Variable neighborhood search. Comput. Oper. Res. 24(11), 1097–1100 (1997)MathSciNet CrossRef MATH
  12.Hale, W.K.: Frequency assignment: theory and applications. Proc. IEEE 68(12), 1497–1514 (1980)CrossRef
  13.Dorne, R., Hao, J.-K.: Constraint handling in evolutionary search: a case study of the frequency assignment. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol. 1141, pp. 801–810. Springer, Heidelberg (1996)CrossRef
  14.Hao, J.-K., Perrier, L.: Tabu search for the frequency assignment problem in cellular radio networks. Technical report LGI2P, EMA-EERIE, Parc Scientifique Georges Besse, Nimes, France (1999)
  15.Dowsland, K.A., Thompson, J.M.: An improved ant colony optimisation heuristic for graph colouring. Discrete Appl. Math. 156(3), 313–324 (2008)MathSciNet CrossRef MATH
  16.Hertz, A., de Werra, D.: Using tabu search techniques for graph coloring. Computing 39(4), 345–351 (1987)MathSciNet CrossRef MATH
  
• 作者单位：Khaled Alrajhi (20)
  Jonathan Thompson (20)
  Wasin Padungwech (20)
  
  20. School of Mathematics, Cardiff University, Cardiff, UK
  
• 丛书名：Hybrid Metaheuristics
• ISBN：978-3-319-39636-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9668

文摘

This study proposes a tabu search hybridized with multiple neighborhood structures to solve a variant of the frequency assignment problem known as the minimum order frequency assignment problem. This problem involves assigning frequencies to a set of requests while minimizing the number of frequencies used. Several novel and existing techniques are used to improve the efficiency of this algorithm. This includes a novel technique that aims to determine a lower bound on the number of frequencies required from each domain for a feasible solution to exist, based on the underlying graph coloring model. These lower bounds ensure that the search focuses on parts of the solution space that are likely to contain feasible solutions. Our tabu search algorithm was tested on real and randomly generated benchmark datasets of the static problem and achieved competitive results.