Localized genetic algorithm for vehicle routing problem with time windows

Applied Soft Computing Journal

Volumn 11, Issue 8, 2011, Pages 5375-5390

  Ursani, Ziauddin ^a   Essam, Daryl ^a   Cornforth, David ^b   Stocker, Robert ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

Benefit Maximization Genetic Algorithm (BMGA); Controlled De Optimization Procedure (CDP); Localized Genetic Algorithm (LGA); Localized Optimization Framework (LOF); Vehicle Routing Problem with Time Windows (VRPTW)

Indexed keywords

BENEFIT MAXIMIZATION GENETIC ALGORITHM (BMGA); DE-OPTIMIZATION; LOCALIZED GENETIC ALGORITHM (LGA); OPTIMIZATION FRAMEWORK; VEHICLE ROUTING PROBLEM WITH TIME WINDOWS (VRPTW);

GENETIC ALGORITHMS; NETWORK ROUTING; OPTIMIZATION; ROUTING ALGORITHMS;

VEHICLE ROUTING;

EID: 80053573761     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.05.021     Document Type: Article

References (64)

1. Z. Ursani, R. Sarker, and H. Abbass Improving Performance of Genetic Algorithm in the Vehicle Routing Problem using Self Imposed Constraints IEEE Symposium on Computational Intelligence in Scheduling, Hilton Hawaiian Village, Honolulu, Hawaii, April 1-5 2007
2. Z. Ursani, D. Essam, D. Cornforth, and R. Stocker Localized Genetic Algorithm for small scale CVRP problems Information Systems and Operations Research (INFOR) 47 2 2009 133 149
3. D.L. Applegate, R.E. Bixby, V. Chvatal, W.J. Cook Travelling Salesman Problem A Computational Study Book Princeton series in applied Mathematics 2006 Princeton University Press New Jersey 08540, ISBN 978-0-691-12993-8
4. T.K. Ralphs, L. Kopman, W.R. Pulleyblank, and L.E. Trotter On the capacitated vehicle routing problem Mathematical Programming 94 2003 343 359
5. P. Toth, and D. Vigo An overview of vehicle routing problems P. Toth, D. Vigo, Book, Vehicle Routing Problem Siam Monographs on Discrete Mathematics and Applications 2002 1 26 (Chapter 1)
6. B. Kallehauge Formulations and exact algorithms for the vehicle routing problem with time windows Computers & Operations Research 35 2008 2307 2330 (Pubitemid 350161140)
7. G.B. Alvarenga, G.R. Mateus, and G.D. Tomi A genetic and set partitioning two phase approach for the vehicle routing problem with time windows Computers & Operations Research 34 2007 1561 1584 (Pubitemid 44556982)
8. Y. Rochat, and E.D. Taillard Probabilistic diversification and intensification in local search for the vehicle routing Journal of Heuristics 1 1995 147 167
9. M. Jepsen, S. Spoorendonk, B. Petersen, D. Pisinger. A Non-Robust Branch-And-Cut- And-Price Algorithm for the Vehicle Routing Problem with Time Windows. Technical 4. Report no. 06/03 ISSN: 0107-8283, Department of Computer Science, University of Copenhagen, Denmark (2006).
10. B. Ombuki, B.J. Ross, and F. Hanshar Multi-objective genetic algorithms for vehicle routing problem with time windows Applied Intelligence 24 2006 17 30 (Pubitemid 43130238)
11. K.C. Tan, Y.H. Chew, and L.H. Lee A Hybrid multi-objective evolutionary algorithm for solving vehicle routing problem with time windows Computational Optimization and Applications 34 2005 115 151
12. M. Solomon Algorithms for the vehicle routing and scheduling problems with time window constraints Operations Research (INFORMS) 35 March-April (2) 1987 254 265 VRP web http://neo.lcc.uma.es/radi-aeb/WebVRP/index.html (Pubitemid 17652588)
13. C. Darwin. On the Origin of Species by means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life. Online Book (1859) pp. 247.
14. J.H. Holland Adaptation in Natural and Artificial Systems 1975 The University of Michigan Press Ann Arbor, MI
15. D.E. Goldberg Genetic Algorithms in Search, Optimization, and Machine Learning. Book 1989 Addison-Wesley Reading, MA
16. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan A fast and elitist multi-objective genetic algorithm: NSGA-II IEEE Transactions on Evolutionary Computations 6 2 2002 182 197 (Pubitemid 34555372)
17. E.Z. Elfky, R.A. Sarker, D.L. Essam. A Simple Ranking and Selection for Constrained Evolutionary Optimization. In "Simulated Evolution and Learning", Lecture Notes in Computer Science, vol. 4247 (2006) pp. 537-544. (Pubitemid 44812381)
18. R.A. Krohling, and J.P. Rey Design of optimal disturbance rejection PID controllers using genetic algorithms IEEE Transactions on Evolutionary Computations 5 1 2001 78 82 (Pubitemid 32330499)
19. K.H. Han, and J.H. Kim Genetic quantum algorithm and its application to combinatorial optimization problem Proceedings of the 2000 Congress on Evolutionary Computation, vol. 2 2000 1354 1360
20. Y.W. Leung, and Y. Wang An orthogonal genetic algorithm with quantization for global numerical optimization IEEE Transactions on Evolutionary Computations 5 1 2001 41 53 (Pubitemid 32330496)
21. M.L. Raymer, W.F. Punch, E.D. Goodman, L.A. Kuhn, and K.J. Anil Dimensionality reduction using genetic algorithms IEEE Transactions on Evolutionary Computations 4 July (2) 2000
22. S. Jung, and B.R. Moon Toward minimal restriction of genetic encoding and crossovers for the two-dimensional euclidean TSP IEEE Transactions on Evolutionary Computations 6 December (6) 2002
23. S.R. Thangiah, and S. Salhi Genetic clustering: an adaptive heuristic for the multidepot vehicle routing problem Applied Artificial Intelligence 15 4 2001 361 383 (Pubitemid 33701245)
24. J. Berger, M. Barkaoui, and O. Braysy A route directed hybrid GA approach for the VRPTW Information Systems and Operational Research 41 2003 179 194
25. P. Shaw Using constraint programming and local search methods to solve vehicle routing problems M. Maher, J.-F. Puget, Principles and Practice of Constraint Programming, Lecture Notes in Computer Science 1998
26. F.-H. Liu, and S.-Y. Shen A route-neighborhood-based metaheuristic for vehicle routing problem with time windows European Journal of Operational Research 118 1999 485 504
27. F.B. Pereira, J. Tavares, P. Machado, and E. Costa GVR: a new genetic representation for the vehicle routing problem Proceedings of the 13th Irish Conference on Artificial Intelligence and Cognitive Science (AICS) Limerick, Ireland 2002 95 102
28. J. Tavares, F.B. Pereira, P. Machado, and E. Costa GVR delivers it on time SEAL02 4th Asia Pacific Conference on Simulated Evolution and Learning Singapore, 18-22 November 2002 95 102
29. T.P. Bagchi Multiobjective Scheduling by Genetic Algorithms 1999 Kluwer Academic Publishers Boston
30. M. Pinaki, and M.R. Elizabeth Genetic algorithms for VLSI design Layout & Test Automation 1999 Prentice hall New Jersey
31. D. Whitley A genetic algorithm tutorial Statistics and Computing 4 1994 65 85
32. A.L. Bouthillier, and T.G. Crainic A Cooperative parallel meta-heuristic for the vehicle routing problem with time windows Computers and Operations Research 32 2005 1685 1708
33. M. Gendreau, A. Hertz, and G. Laporte A tabu search heuristic for the vehicle routing problem Management Science 40 1994 1276 1290
34. J.-F. Cordeau, G. Laporte, and A. Mercier A unified tabu search heuristic for vehicle routing problems with time windows Journal of the Operational Research Society 52 2001 928 936 (Pubitemid 32720268)
35. J.F. Cordeau, G. Laporte, A. Mercier. A unified tabu search heuristic for vehicle routing problems with time windows. Working Paper CRT-00-03, centre for Research on Transportation, Montreal, Canada (2000).
36. S.R. Thangiah A hybrid genetic algorithms, simulated annealing and tabu search heuristic for vehicle routing problems with time windows L. Chambers, Practical Handbook of Genetic Algorithms, vol. III: Complex Structures 1999 CRC Press 347 381
37. I.H. Osman, N. Christofides. Simulated Annealing and Descent Algorithms for Capacitated Clustering Problem. Research Report, Imperial College, University of London, Presented at EURO-X Conference, Beograd, Yugoslavia (1989).
38. I.H. Osman, and N. Christofides Capacitated clustering problems by hybrid simulated annealing and tabu search International Transactions in Operational Research 1 3 1994
39. O. Braysy, and M. Gendreau Vehicle routing problem with time windows, part II: meta-heuristics Transportation Science 39 1 2005 119 139 (Pubitemid 40453880)
40. O. Braysy, W. Dullaert, and M. Gendreau Evolutionary algorithms for the vehicle routing problem with time windows Journal of Heuristics 10 6 2004 587 611 (Pubitemid 40356745)
41. O. Braysy, M. Gendreau. Genetic Algorithms for the Vehicle Routing Problem with Time Windows. SINTEF Report No. STF42 A01021. (2001) ISBN 82-14-01613-4.
42. J.Y. Potvin, and S. Bengio The vehicle routing problem with time windows- part II: genetic search INFORMS Journal of Computing 8 1996 165 172 (Pubitemid 126681528)
43. R. Bent, and P.V. Hentenryck A two-stage hybrid local search for the vehicle routing problem with time windows Transportation Science 38 4 2004 515 530
44. D. Mester, and O. Braysy Active guided evolution strategies for large-scale vehicle routing problems with time windows Computers & Operations Research 32 2005 1593 1614
45. D. Pisinger, and S. Ropke A general heuristic for vehicle routing problems Computers & Operations Research 34 2007 2403 2435 (Pubitemid 46073431)
46. A. Lim, and X. Zhang A two-stage heuristic with ejection pools and generalized ejection chains for the vehicle routing problem with time windows Informs Journal on Computing 19 3 2007 443 457 (Summer)
47. R. Bellman On the theory of dynamic programming Proceedings of Natural Academy of Science 38 1952 716
48. E. Taillard Parallel iterative search methods for vehicle routing problems Networks 23 1993 661 673
49. Y. Rochat, and E.D. Tailard Probabilistic diversification and intensification in local search for vehicle routing Journal of Heuristics 1 1995 147 167
50. Z. Ursani. Localized Genetic Algorithm for the Vehicle Routing Problem. PhD Thesis. University of New South Wales at Australian Defence Force Academy. Available from: http://unsworks.unsw.edu.au/vital/access/manager/Repository/ unsworks (2009) 7240.
51. Z. Ursani Localized Genetic Algorithm for the Vehicle Routing Problem. Book 2010 Lambert Academy Publishing 978-3-8383-6807-8
52. F. Glover Tabu search Part II ORSA Journal on Computing 2 1 1990 4 32
53. E. Aarts, and J. Korst Simulated Annealing and Boltzmann Machines. Book 1989 John Wiley and Sons Inc. New York, NY 0-471-92146-7
54. M. Dorigo, and C. Blum Ant colony optimization theory: a survey Theoretical Computer Science 344 2005 243 278 (Pubitemid 41554100)
55. T.H. Cormen, C.E. Leiserson, and R.L. Rivest Introduction to Algorithms 1990 MIT Press Cambridge, MA
56. C. Prins A simple and effective evolutionary algorithm for the vehicle routing problem Computers & Operations Research 31 2004 1985 2002 (Pubitemid 38728564)
57. R. Poli. Introduction to Evolutionary Computation. Online Book (1996).
58. Z. Michalewicz Genetic Algorithms+Data Structures=Evolution Programs 3rd ed. 1996 Springer-Verlag Berlin Heidelberg New York
59. H. Gabow. Implementation of Algorithms for Maximum Matching on Non-bipartite Graphs. Ph.D. thesis, Stanford University (1973).
60. L.M. Rousseau, M. Gendreau, G. Pesant. Using constraint-based operators with variable neighborhood search to solve the vehicle routing problem with time windows. Presented at the CP-AI-OR'99 Workshop, February 25-26, University of Ferrara, Italy (1999).
61. H.C.B. De Olivera, G.C. Vasconcelos, G.B. Alvarenga, R.V. Mesquita, and M.M. De Souza J.-F. Puget, Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling (CI-Sched) 2007 Springer-Verlag New York 417 431
62. E. Taillard, P. Badeau, M. Gendreau, F. Geurtin, and J.Y. Potvin A tabu search heuristic for the vehicle routing problems with time windows Transportation Science 31 1997 170 186 (Pubitemid 127597092)
63. J. Homberger, and H. Gehring Parallelization of two phase metaheuristic for routing problems with time windows Journal of Heuristics 8 2002 251 276
64. P. Kilby, P. Prosser, and P. Shaw Guided local search for vehicle routing problem Second International Conference on Metaheuristics-MIC97 1997