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Volumn 6923 LNAI, Issue PART 2, 2011, Pages 505-514

The parallel ant vehicle navigation system with CUDA technology

Author keywords

ant system; GPU; vehicle navigation

Indexed keywords

ANT SYSTEMS; GPU; PARALLELIZATIONS; REAL WORLD DATA; VEHICLE NAVIGATION; VEHICLE NAVIGATION SYSTEM;

EID: 80053073044     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23938-0_51     Document Type: Conference Paper
Times cited : (6)

References (21)
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    • Bura, W.1    Boryczka, M.2
  • 6
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  • 7
    • 84890013379 scopus 로고
    • Parallel ant system: An experimental study
    • (unpublished)
    • Dorigo, M.: Parallel ant system: An experimental study. Politechnico di Milano (1993) (unpublished)
    • (1993) Politechnico Di Milano
    • Dorigo, M.1
  • 8
    • 0031122887 scopus 로고    scopus 로고
    • Ant colony system: A cooperative learning approach to the traveling salesman problem
    • PII S1089778X97033031
    • 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) (Pubitemid 127771018)
    • (1997) IEEE Transactions on Evolutionary Computation , vol.1 , Issue.1 , pp. 53-66
    • Dorigo, M.1    Gambardella, L.M.2
  • 12
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    • An ant system for the shortest common supersequence problem
    • Glover, F., Corne, D., Dorigo, M. (eds.) McGraw-Hill, New York
    • Michels, R., Middendorf, M.: An ant system for the shortest common supersequence problem. In: Glover, F., Corne, D., Dorigo, M. (eds.) New Ideas in Optimization, pp. 51-61. McGraw-Hill, New York (1999)
    • (1999) New Ideas in Optimization , pp. 51-61
    • Michels, R.1    Middendorf, M.2
  • 13
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    • Multi colony ant algorithms
    • DOI 10.1023/A:1015057701750
    • Middendorf, M., Reischle, F., Schmeck, H.: Multi colony ant algorithms. Journal of Heuristics 8(3), 305-320 (2002) (Pubitemid 34536963)
    • (2002) Journal of Heuristics , vol.8 , Issue.3 , pp. 305-320
    • Middendorf, M.1    Reischle, F.2    Schmeck, H.3
  • 14
    • 0033341407 scopus 로고    scopus 로고
    • Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches
    • DOI 10.1109/25.806795
    • Pang, G., Takahashi, K., Yokota, T., Takenaga, H.: Adaptive route selection for dynamic route guidance system based on fuzzy-neural approaches. IEEE Trans. on Vehicular Technology 48, 2028-2041 (1999) (Pubitemid 30528145)
    • (1999) IEEE Transactions on Vehicular Technology , vol.48 , Issue.6 , pp. 2028-2041
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    • A new route selection system: Multi-parameter ant algorithm based vehicle navigation approach
    • IAWTIC 2008 and ISE 2008
    • Salehinejad, H., Pouladi, F., Talebi, S.: A new route selection system: Multi-parameter ant algorithm based vehicle navigation approach. In: CIMCA 2008, IAWTIC 2008 and ISE 2008 (2008)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.