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Volumn 2, Issue , 1999, Pages 1109-1113

Vehicle routing problem using clustering algorithm by maximum neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; HOPFIELD NEURAL NETWORKS; MANUFACTURE; NEURAL NETWORKS; NEURONS; OPTIMIZATION; PROBLEM SOLVING; ROUTING ALGORITHMS; VEHICLE ROUTING; VEHICLES;

EID: 84866845637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPMM.1999.791534     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 2
    • 0023657610 scopus 로고
    • An analogue approach to the traveling salesman problem using an elastic net method
    • R. Durbin, D. Wilshaw, 1987. An Analogue Approach to the Traveling Salesman Problem using an Elastic Net Method, Nature 326, 689-691.
    • (1987) Nature , vol.326 , pp. 689-691
    • Durbin, R.1    Wilshaw, D.2
  • 4
    • 0000365380 scopus 로고
    • Parameter sensitivity of the elastic net approach to the traveling salesman problem
    • M. W. Simmen, 1991. Parameter Sensitivity of the Elastic Net Approach to the Traveling Salesman Problem, Neural Computation 3, 363-374.
    • (1991) Neural Computation , vol.3 , pp. 363-374
    • Simmen, M.W.1
  • 5
    • 0000419596 scopus 로고
    • Scheduling of vehicles from a central depot to a number of delivery points
    • G. Clarke, J. Wright, 1964. Scheduling of Vehicles from a Central Depot to a Number of Delivery Points, Oper. Res., 12(4), 568-581.
    • (1964) Oper. Res. , vol.12 , Issue.4 , pp. 568-581
    • Clarke, G.1    Wright, J.2
  • 6
    • 0001549833 scopus 로고
    • An algorithm for the vehicle dispatching problem
    • N. Christofides, S. Eilon, 1969. An algorithm for the vehicle dispatching problem, Opl. Res. Q., 20, 309.
    • (1969) Opl. Res. Q. , vol.20 , pp. 309
    • Christofides, N.1    Eilon, S.2
  • 8
    • 0344194652 scopus 로고
    • An artificial maximum neural network: A winner-take-all-neuron model forcing the state of the system in a solution domain
    • Y. Takefuji, K.-C. Lee, H. Aiso, 1992. An artificial maximum neural network: a winner-take-all-neuron model forcing the state of the system in a solution domain, Biological Cybernetics, 67, 243-251.
    • (1992) Biological Cybernetics , vol.67 , pp. 243-251
    • Takefuji, Y.1    Lee, K.-C.2    Aiso, H.3
  • 9
    • 85040045049 scopus 로고    scopus 로고
    • http://www.iwr.uni-heidelberg.de/iwr/comopt/soft/TSPLIB95/TSPLIB.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.