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Volumn 36, Issue , 2006, Pages 247-270

The noisy euclidean traveling salesman problem: A computational analysis

Author keywords

Average trajectory; Computational analysis; Traveling salesman problem

Indexed keywords


EID: 84888788139     PISSN: 1387666X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-39934-8_15     Document Type: Article
Times cited : (2)

References (9)
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    • M. L. Braun and J. M. Buhmann. The noisy Euclidean traveling salesman problem and learning, in Advances in Neural Information Processing Systems 14, T. Dietterich, S. Becker, and Z. Ghahramani, eds., 251-258, MIT Press, Cambridge, MA, 2002.
    • (2002) Advances In Neural Information Processing Systems , vol.14 , pp. 251-258
    • Braun, M.L.1    Buhmann, J.M.2
  • 2
    • 0032121988 scopus 로고    scopus 로고
    • See the forest before the trees: Fine-tuned learning and its application to the traveling salesman problem
    • S. Coy, B. Golden, G. Runger, and E. Wasil. See the forest before the trees: Fine-tuned learning and its application to the traveling salesman problem. IEEE Transactions on Systems, Man, and Cybernetics, 28A: 454-464, 1998.
    • (1998) IEEE Transactions On Systems, Man, and Cybernetics , vol.28 A , pp. 454-464
    • Coy, S.1    Golden, B.2    Runger, G.3    Wasil, E.4
  • 3
    • 0016353777 scopus 로고
    • Quad trees, a data structure for retrieval on composite keys
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    • (1974) Acta Informatica , vol.4 , pp. 1-9
    • Finkel, R.A.1    Bentley, J.L.2
  • 4
    • 0024107816 scopus 로고
    • A priori solution of a traveling salesman problem in which a random subset of the customers are visited
    • P. Jaillet. A priori solution of a traveling salesman problem in which a random subset of the customers are visited. Operations Research, 36: 929-936, 1988.
    • (1988) Operations Research , vol.36 , pp. 929-936
    • Jaillet, P.1
  • 5
    • 0001193147 scopus 로고    scopus 로고
    • The traveling salesman problem: A case study in local optimization
    • E. Aarts and J. K. Lenstra, eds, Wiley, London
    • D. Johnson and L. McGeoch. The traveling salesman problem: A case study in local optimization, in Local Search in Combinatorial Optimization, E. Aarts and J. K. Lenstra, eds., 215-310, Wiley, London, 1997.
    • (1997) Local Search In Combinatorial Optimization , pp. 215-310
    • Johnson, D.1    McGeoch, L.2
  • 6
    • 0001539345 scopus 로고
    • The traveling salesman problem
    • Handbooks in Operations Research and Management Science, M. Ball, T. Magnanti, C. Monma, and G. Nemhauser, eds, North-Holland, Amsterdam
    • M. Jiinger, G. Reinelt, and G. Rinaldi. The traveling salesman problem, in Network Models, Volume 7, Handbooks in Operations Research and Management Science, M. Ball, T. Magnanti, C. Monma, and G. Nemhauser, eds., 225-330, North-Holland, Amsterdam, 1995.
    • (1995) Network Models , vol.7 , pp. 225-330
    • Jiinger, M.1    Reinelt, G.2    Rinaldi, G.3
  • 7
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirkpatrick, C. Gelatt, and M. Vecchi. Optimization by simulated annealing. Science, 220: 671-680,1983.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.2    Vecchi, M.3
  • 9
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    • Solving the traveling salesman problem with annealing-based heuristics: A computational study
    • J. Pepper, B. Golden, and E. Wasil. Solving the traveling salesman problem with annealing-based heuristics: A computational study. IEEE Transactions on Systems, Man, and Cybernetics, 32A: 72-77, 2002.
    • (2002) IEEE Transactions On Systems, Man, and Cybernetics , vol.32 A , pp. 72-77
    • Pepper, J.1    Golden, B.2    Wasil, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.