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Co-operation Schemes for the Parallel Memetic Algorithm

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Parallel Processing and Applied Mathematics (PPAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8384))

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. 1.

    We distinguish the process \(P_{1}\) as the master process.

  2. 2.

    More details can be found at: http://www.task.gda.pl/english/hpc

  3. 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. 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.

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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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Correspondence to Jakub Nalepa .

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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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  • DOI: https://doi.org/10.1007/978-3-642-55224-3_19

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