Abstract
This paper presents a study of co-operation schemes for the parallel memetic algorithm to solve the vehicle routing problem with time windows. In the parallel co-operative search algorithms the processes communicate to exchange the up-to-date solutions, which may guide the search and improve the results. The interactions between processes are defined by the content of the exchanged data, timing, connectivity and mode. We show how co-operation schemes influence the search convergence and solutions quality. The quality of a solution is defined as its proximity to the best, currently-known one. We present the experimental study for the well-known Gehring and Homberger’s benchmark. The new world’s best solutions obtained in the study confirm that the co-operation scheme has a strong impact on the quality of final solutions.
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Notes
- 1.
We distinguish the process \(P_{1}\) as the master process.
- 2.
More details can be found at: http://www.task.gda.pl/english/hpc
- 3.
The best-known solutions of the GH tests are published at: http://www.sintef.no/Projectweb/TOP/VRPTW/Homberger-benchmark/; reference date: April 27, 2013.
- 4.
These were: C1_4_8, C2_4_3, C2_4_4, C2_4_10, RC2_4_1, RC2_4_2, RC2_4_5, RC2_4_6.
References
Blocho, M.: A parallel memetic algorithm for the vehicle routing problem with time windows. Ph.D. thesis, Silesian University of Technology (2013) (in Polish)
Blocho, M., Czech, Z.J.: An improved route minimization algorithm for the vehicle routing problem with time windows. Stud. Informatica 32(99), 5–19 (2010)
Blocho, M., Czech, Z.J.: A parallel EAX-based algorithm for minimizing the number of routes in the vehicle routing problem with time windows. In: Proceedings of the IEEE HPCC-ICESS, pp. 1239–1246 (2012)
Bräysy, O., Gendreau, M.: Vehicle routing problem with time windows, part I: route construction and local search algorithms. Trans. Sc. 39(1), 104–118 (2005)
Kallehauge, B.: Formulations and exact algorithms for the vehicle routing problem with time windows. Comput. Oper. Res. 35(7), 2307–2330 (2008)
Mester, D., Bräysy, O.: Active guided evolution strategies for large-scale vehicle routing problems with time windows. Comput. Oper. Res. 32(6), 1593–1614 (2005)
Nagata, Y., Bräysy, O.: A powerful route minimization heuristic for the vehicle routing problem with time windows. Oper. Res. Lett. 37(5), 333–338 (2009)
Nagata, Y., Bräysy, O., Dullaert, W.: A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows. Comput. Oper. Res. 37(4), 724–737 (2010)
Nalepa, J., Czech, Z.J.: A parallel heuristic algorithm to solve the vehicle routing problem with time windows. Stud. Informatica 33(1), 91–106 (2012)
Nalepa, J., Czech, Z.J.: New selection schemes in a memetic algorithm for the vehicle routing problem with time windows. In: Tomassini, M., Antonioni, A., Daolio, F., Buesser, P. (eds.) ICANNGA 2013. LNCS, vol. 7824, pp. 396–405. Springer, Heidelberg (2013)
Russell, R.: Hybrid heuristics for the vehicle routing problem with time windows. Trans. Sc. 29(2), 156 (1995)
Thompson, P.M., Psaraftis, H.N.: Cyclic transfer algorithms for multivehicle routing and scheduling problems. Oper. Res. 41(5), 935–946 (1993)
Ursani, Z., Essam, D., Cornforth, D., Stocker, R.: Localized genetic algorithm for VRPTW. Appl. Soft Comput. 11(8), 5375–5390 (2011)
Zhong, Y., Pan, X.: A hybrid optimization solution to VRPTW based on simulated annealing. In: Proceedings of the IEEE ICAL, pp. 3113–3117 (2007)
Acknowledgments
We thank the following computing centers where the computations of our project were carried out: Academic Computer Centre in Gdańsk TASK, Academic Computer Centre CYFRONET AGH, Kraków, Interdisciplinary Centre for Mathematical and Computational Modeling, Warsaw University, Wrocław Centre for Networking and Supercomputing.
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Nalepa, J., Blocho, M., Czech, Z.J. (2014). Co-operation Schemes for the Parallel Memetic Algorithm. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55224-3_19
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