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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
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  3/2018 - 7

A Hybrid Model based on Genetic Algorithm and Space-Filling Curve applied to Optimization of Vehicle Routes

MENDES, W. R. See more information about MENDES, W. R. on SCOPUS See more information about MENDES, W. R. on IEEExplore See more information about MENDES, W. R. on Web of Science, PEREIRA, F. G. See more information about  PEREIRA, F. G. on SCOPUS See more information about  PEREIRA, F. G. on SCOPUS See more information about PEREIRA, F. G. on Web of Science, CAVALIERI, D. C. See more information about CAVALIERI, D. C. on SCOPUS See more information about CAVALIERI, D. C. on SCOPUS See more information about CAVALIERI, D. C. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,801 KB) | Citation | Downloads: 323 | Views: 718

Author keywords
vehicle routing, genetic algorithms, fractals, hybrid intelligent systems, computer applications

References keywords
problem(16), routing(14), vehicle(13), genetic(10), algorithm(9), research(6), windows(5), time(5), salesman(5), optimization(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 45 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03007
Web of Science Accession Number: 000442420900007
SCOPUS ID: 85052128618

Abstract
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This work is the result of a real problem in the Sanitation Company of Espirito Santo (Companhia Espirito Santense de Saneamento), which owns a Geographic Information System, but lacks a mechanism to build routes to server customers that open in average 2148 services requests per day. Therefore, we propose a Hybrid Optimization Algorithm that combines Genetic Algorithm and Space-Filling Curves to solve the Vehicle Route Problem. We establish the validity of the hybrid algorithm by performing tests in two different benchmarks datasets. Our proposal reached an average result of 12.7 percent and 4.1 percent better than the previous solutions in the first and second datasets respectively. Also, we compare our solution and five other variations of Ant Colony Optimization Algorithm. The results show that our proposal is superior in some simulations and, when it was not superior, presented the second-best results for almost all instances.


References | Cited By  «-- Click to see who has cited this paper

[1] B. M. Baker and M. A. Ayechew, "A genetic algorithm for the vehicle routing problem," Computers & Operations Research, vol. 30, no. 5, pp. 787-800, Apr. 2003.
[CrossRef] [Web of Science Times Cited 329] [SCOPUS Times Cited 475]


[2] O. Braysy, W. Dullaert, and M. Gendreau, "Evolutionary Algorithms for the Vehicle Routing Problem with Time Windows," Journal of Heuristics, vol. 10, no. 6, pp. 587-611, Dec. 2004.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 69]


[3] A. Kadar, M. Shahjalal, M. Faisal, and M. Iqbal, "Solving the Vehicle Routing Problem using Genetic Algorithm," International Journal of Advanced Computer Science and Applications, vol. 2, no. 7, 2011.
[CrossRef]


[4] F. T. Hanshar and B. M. Ombuki-Berman, "Dynamic vehicle routing using genetic algorithms," Applied Intelligence, vol. 27, no. 1, pp. 89-99, Jun. 2007.
[CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 82]


[5] G. Clarke and J. W. Wright, "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, vol. 12, no. 4, pp. 568-581, Aug. 1964.
[CrossRef]


[6] R. H. Mole and S. R. Jameson, "A Sequential Route-Building Algorithm Employing a Generalised Savings Criterion," Operational Research Quarterly (1970-1977), vol. 27, no. 2, p. 503, 1976.
[CrossRef] [Web of Science Times Cited 94]


[7] D. E. Goldberg, "Genetic algorithms in search, optimization, and machine learning", pp. 1-25, Reading, Mass: Addison-Wesley Pub. Co, 1989.

[8] T. Vidal, T. G. Crainic, M. Gendreau, and C. Prins, "A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows," Computers & Operations Research, vol. 40, no. 1, pp. 475-489, Jan. 2013.
[CrossRef] [Web of Science Times Cited 190] [SCOPUS Times Cited 236]


[9] H. Nazif and L. S. Lee, "Optimised crossover genetic algorithm for capacitated vehicle routing problem," Applied Mathematical Modelling, vol. 36, no. 5, pp. 2110-2117, May 2012.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 89]


[10] J. J. Bartholdi, L. K. Platzman, R. L. Collins, and W. H. Warden, "A Minimal Technology Routing System for Meals on Wheels," Interfaces, vol. 13, no. 3, pp. 1-8, Jun. 1983.
[CrossRef] [Web of Science Times Cited 71]


[11] N. Biggs, "THE TRAVELING SALESMAN PROBLEM A Guided Tour of Combinatorial Optimization," Bulletin of the London Mathematical Society, vol. 18, no. 5, pp. 514-515, Sep. 1986.
[CrossRef]


[12] J. J. Bartholdi and L. K. Platzman, "Heuristics Based on Spacefilling Curves for Combinatorial Problems in Euclidean Space," Management Science, vol. 34, no. 3, pp. 291-305, Mar. 1988.
[CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 90]


[13] L. K. Platzman and J. J. Bartholdi, "Spacefilling curves and the planar travelling salesman problem," Journal of the ACM, vol. 36, no. 4, pp. 719-737, Oct. 1989.
[CrossRef] [Web of Science Times Cited 86] [SCOPUS Times Cited 103]


[14] J. J. Bartholdi and P. Goldsman, "Vertex-labeling algorithms for the Hilbert spacefilling curve," Software: Practice and Experience, vol. 31, no. 5, pp. 395-408, Apr. 2001.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 28]


[15] J. J. Bartholdi and P. Goldsman, "Continuous indexing of hierarchical subdivisions of the globe," International Journal of Geographical Information Science, vol. 15, no. 6, pp. 489-522, Sep. 2001.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 56]


[16] T. Bektas, "The multiple traveling salesman problem: an overview of formulations and solution procedures," Omega, vol. 34, no. 3, pp. 209-219, Jun. 2006.
[CrossRef] [Web of Science Times Cited 381] [SCOPUS Times Cited 529]


[17] R. C. Mittal, "Space-filling curves," Resonance, vol. 5, no. 12, pp. 26-33, Dec. 2000.
[CrossRef]


[18] H. Sagan, "Space-Filling Curves", pp. 9-30, New York, NY: Springer New York, 1994.

[19] K. Braekers, K. Ramaekers, and I. Van Nieuwenhuyse, "The vehicle routing problem: State of the art classification and review," Computers & Industrial Engineering, vol. 99, pp. 300-313, Sep. 2016.
[CrossRef] [Web of Science Times Cited 139] [SCOPUS Times Cited 179]


[20] S. Karakatic and V. Podgorelec, "A survey of genetic algorithms for solving multi depot vehicle routing problem," Applied Soft Computing, vol. 27, pp. 519-532, Feb. 2015.
[CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 99]


[21] Y. Yue, T. Zhang and Q. Yue, "Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem," Computational Intelligence and Neuroscience, 2015,
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 1]


[22] A. S. Ruela, F. G. Guimaraes, R. A. R. Oliveira, B. Neves, V. P. Amorim, and L. M. Fraga, "A Parallel Hybrid Genetic Algorithm on Cloud Computing for the Vehicle Routing Problem with Time Windows", 2013, pp. 2467-2472.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[23] J. Berger and M. Barkaoui, "A parallel hybrid genetic algorithm for the vehicle routing problem with time windows," Computers & Operations Research, vol. 31, no. 12, pp. 2037-2053, Oct. 2004.
[CrossRef] [Web of Science Times Cited 91] [SCOPUS Times Cited 130]


[24] E. Uchoa, D. Pecin, A. Pessoa, M. Poggi, T. Vidal, and A. Subramanian, "New benchmark instances for the Capacitated Vehicle Routing Problem," European Journal of Operational Research, vol. 257, no. 3, pp. 845-858, Mar. 2017.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 45]


[25] E. D. Dolan and J. J. More, "Benchmarking optimization software with performance profiles," Mathematical Programming, vol. 91, no. 2, pp. 201-213, Jan. 2002.
[CrossRef] [Web of Science Times Cited 1619] [SCOPUS Times Cited 1761]


[26] R. Necula, M. Breaban, and M. Raschip, "Performance Evaluation of Ant Colony Systems for the Single-Depot Multiple Traveling Salesman Problem," in Hybrid Artificial Intelligent Systems, vol. 9121, E. Onieva, I. Santos, E. Osaba, H. Quintian, and E. Corchado, Eds. Cham: Springer International Publishing, 2015, pp. 257-268.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 15]


[27] R. Necula, M. Breaban, and M. Raschip, "Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems," 2015, pp. 873-880.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[28] S.-H. Xu, J.-P. Liu, F.-H. Zhang, L. Wang, and L.-J. Sun, "A Combination of Genetic Algorithm and Particle Swarm Optimization for Vehicle Routing Problem with Time Windows," Sensors, vol. 15, no. 9, pp. 21033-21053, Aug. 2015.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 19]




References Weight

Web of Science® Citations for all references: 3,453 TCR
SCOPUS® Citations for all references: 4,018 TCR

Web of Science® Average Citations per reference: 119 ACR
SCOPUS® Average Citations per reference: 139 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-12-10 22:41 in 184 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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