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Un Algoritmo Genético H´ıbrido Paralelo para Instancias Complejas ...

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seguir incrementando el tamaño de nuestro grid, y<br />

modificando el algoritmo <strong>para</strong> hacerlo más eficiente.<br />

En este segundo aspecto creemos que debemos centrarnos<br />

en desarrollar nuevos métodos de búsqueda<br />

local más eficientes que el utilizado en este trabajo,<br />

ya que es el paso más costoso computacionalmente<br />

del ciclo reproductor del algoritmo.<br />

Agradecimientos<br />

Este trabajo ha sido subvencionado por MEC y<br />

FEDER bajo el contrato TIN2005-08818-C04-01 (el<br />

proyecto OPLINK: http://oplink.lcc.uma.es).<br />

Referencias<br />

[1] G.B. Dantzing and R.H. Ramster, “The truck dispatching<br />

problem,” Management Science, vol. 6, pp. 80–91,<br />

1959.<br />

[2] J.K. Lenstra and A.H.G. Rinnooy Kan, “Complexity of<br />

vehicle routing and scheduling problems,” Networks, vol.<br />

11, pp. 221–227, 1981.<br />

[3] P. Toth and D. Vigo, The Vehicle Routing Problem,<br />

Monographs on Discrete Mathematics and Applications.<br />

SIAM, Philadelphia, 2001.<br />

[4] B.L. Golden, E.A. Wasil, J.P. Kelly, and I-M. Chao, Fleet<br />

Management and Logistics, chapter The Impact of Metaheuristics<br />

on Solving the Vehicle Routing Problem: algorithms,<br />

problem sets, and computational results, pp.<br />

33–56, Kluwer, Boston, 1998.<br />

[5] J.F. Cordeau, M. Gendreau, A. Hertz, G. Laporte, and<br />

J.S. Sormany, New Heuristics for the Vehicle Routing<br />

Problem, Kluwer Academic Publishers, 2004, to appear.<br />

[6] E. Alba and M. Tomassini, “Parallelism and evolutionary<br />

algorithms,” IEEE Transactions on Evolutionary<br />

Computation, vol. 6, no. 5, pp. 443–462, October 2002.<br />

[7] E. Cantú-Paz, Efficient and Accurate Parallel Genetic<br />

Algorithms, vol. 1 of Book Series on Genetic Algorithms<br />

and Evolutionary Computation, Kluwer Academic Publishers,<br />

2nd edition, 2000.<br />

[8] E. Alba and B. Dorronsoro, Engineering Evolutionary<br />

Intelligent Systems, chapter 13, A Hybrid Cellular Genetic<br />

Algorithm for the Capacitated Vehicle Routing Problem,<br />

Studies in Computational Intelligence. Springer-<br />

Verlag, 2007.<br />

[9] “ProActive official web site,” http://wwwsop.inria.fr/oasis/proactive/.<br />

[10] F. Li, B. Golden, and E. Wasil, “Very large-scale vehicle<br />

routing: New test problems, algorithms, and results,”<br />

Computers & Operations Research, vol. 32, pp. 1165–<br />

1179, 2005.<br />

[11] E. Alba, Análisis y Diseño de <strong>Algoritmo</strong>s <strong>Genético</strong>s <strong>Paralelo</strong>s<br />

Distribuidos, Ph.D. thesis, <strong>Un</strong>iversidad de Málaga,<br />

Málaga, Febrero 1999.<br />

[12] F.B. Pereira, J. Tavares, P. Machado, and E. Costa,<br />

“GVR: a new representation for the vehicle routing problem,”<br />

in 13th Irish Conference Proceedings on Artificial<br />

Intelligence and Cognitive Science (AICS), M. O’Neill<br />

et al., Ed., Ireland, 2002, pp. 95–102, Springer-Verlag.<br />

[13] E. Alba and B. Dorronsoro, “Solving the vehicle routing<br />

problem by using cellular genetic algorithms,” in Evolutionary<br />

Computation in Combinatorial Optimization<br />

– EvoCOP 2004, Jens Gottlieb and Günther R. Raidl,<br />

Eds., Coimbra, Portugal, 5-7 April 2004, vol. 3004 of<br />

LNCS, pp. 11–20, Springer Verlag.<br />

[14] E. Alba and B. Dorronsoro, “Computing nine new bestso-far<br />

solutions for capacitated VRP with a cellular genetic<br />

algorithm,” Information Processing Letters, vol.<br />

98, no. 6, pp. 225–230, June 2006.<br />

[15] N. Christofides, A. Mingozzi, and P. Toth, Combinatorial<br />

Optimization, chapter The Vehicle Routing Problem, pp.<br />

315–338, John Wiley, 1979.<br />

[16] I.H. Osman, “Metastrategy simulated annealing and tabu<br />

search algorithms for the vehicle routing problems,”<br />

Annals of Operations Research, vol. 41, pp. 421–451,<br />

1993.<br />

[17] G.A. Croes, “A method for solving traveling salesman<br />

problems,” Operations Research, vol. 6, pp. 791–812,<br />

1958.

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