Abstract
This paper describes simulated annealing technique,which is a Monte Carlo method, to analyze and improve the efficiency of the design of Global Positioning System (GPS) surveying networks. The paper proposes various local search procedures which can be coupled with the simulated annealing technique.
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Keywords
- Global Position System
- Local Search
- Global Position System
- Simulated Annealing Algorithm
- Local Search Procedure
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References
Dowsland, K.: Variants of Simulated Annealing for Practical Problem Solving. In: Rayward-Smith, V. (ed.) Applications of Modern Heuristic Methods, Henley-on-Thames. Alfred Walter Ltd. in association with UNICOM (1995)
Kirkpatrick, S., Gelatt, C.D., Vecchi, P.M.: Optimization by Simulated Annealing. Science 220, 671–680 (1983)
Rene, V.V.: Applied Simulated Annealing. Springer, Berlin (1993)
Saleh, H.A., Dare, P.: Effective Heuristics for the GPS Surveying Network of Malta: Simulated Annealing and Tabu Search Techniques. J. of Heuristics 7(6), 533–549 (2001)
Saleh, H.A., Dare, P.: Heuristic Methods for Designing Global Positioning System Surveying Network in the Republic of Seychelles. The Arabian Journal for Science and Engineering 26, 73–93 (2002)
Schaffer, A.A., Yannakakis, M.: Simple Local Search Problems that are Hard to Solve. Society for Industrial Applied Mathematics Journal on Computing 20, 56–87 (1991)
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© 2006 Springer-Verlag Berlin Heidelberg
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Fidanova, S. (2006). Simulated Annealing: A Monte Carlo Method for GPS Surveying. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758501_160
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DOI: https://doi.org/10.1007/11758501_160
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34379-0
Online ISBN: 978-3-540-34380-6
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