13.04.2013 Views

uma nova abordagem na resolução do problema do caixeiro viajante

uma nova abordagem na resolução do problema do caixeiro viajante

uma nova abordagem na resolução do problema do caixeiro viajante

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

KIVILUOTO, K., Topology Preservation in Self-Organizing Maps. In: Inter<strong>na</strong>tio<strong>na</strong>l<br />

Conference on Neural Networks, 1996, New Jersey: IEEE Neural Networks Council, p. 294-<br />

299.<br />

KOBAYASHI, K., Introducing a Clustering Technique into Recurrent Neural Networks<br />

for Solving Large-scale Traveling Salesman Problems. In: Inter<strong>na</strong>tio<strong>na</strong>l Conference on<br />

Artificial Neural Networks, 8., 1998, Skovde: Proceedings of the 8th Inter<strong>na</strong>tio<strong>na</strong>l Conference<br />

on Artificial Neural Networks – ICANN’98, Springer Verlag, v. 2, pp. 935 -940.<br />

KOHONEN, T., The self-organizing map. Neurocomputing, v. 21, n. 1-3, p. 1-6, nov. 1998.<br />

_____________ Self-organizing maps. Berlin: Springer Verlag, 2001.<br />

KOWALSKI, C.T.; KOWALSKA, T.O., Neural networks application for induction motor<br />

faults diagnosis. Mathematics and computing in Simulation, v. 63, n. 2-3, p. 435-448, nov.<br />

2003.<br />

LAPORTE, G., The vehicle routing problem: An overview of exact and approximate<br />

algorithms. European Jour<strong>na</strong>l of Operatio<strong>na</strong>l Research, v. 59, n. 3, p. 345-358, jun.1992.<br />

LEE, J.A.; VERLEYSEN, M., Self-organizing maps with recursive neighborhood<br />

adaptation. Neural Networks, v. 15, n. 8-9, p. 993-1003, out. 2002.<br />

LEUNG, K.S.; JIN, H.D.; XU, Z.B., An expanding self-organizing neural network for the<br />

traveling salesman problem. Neurocomputing, v. 62, p. 267-292, dez. 2004.<br />

LIN, S., KERNIGHAN, B.W., An effective heuristic algorithm for the traveling salesman<br />

problem. Operatio<strong>na</strong>l Research, v. 21, p. 498-516, 1973.<br />

LINGO, Manual <strong>do</strong> LINGO. Lin<strong>do</strong> Systems, inc. N. Dayton, Chicago, Illinois, 1999.<br />

LIU, D.; HU, S.; WANG, J., Global Output Convergence of a Class of Continuous-Time<br />

Recurrent Neural Networks with Time-Varying Thresholds. IEEE Transactions on<br />

Circuits and Systems, v. 51, n. 4, p. 161-167, abr. 2004.<br />

LIU, G.; HE, Y.; FANG, Y.; QIU, Y., A novel adaptive search strategy of intensification<br />

and diversification in tabu search. In: Neural Networks and Sig<strong>na</strong>l Processing, 2003,<br />

Nanjing, Chi<strong>na</strong>: Proceedings of Neural Networks and Sig<strong>na</strong>l Processing, IEEE press, v. 1, p.<br />

428-431.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!