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Very Large Scale Vehicle Routing with Time Windows and Stochastic Demand Using Genetic Algorithms with Parallel Fitness Evaluation

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High Performance Computing and Networking (HPCN-Europe 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1823))

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Abstract

This paper deals with a real-life vehicle routing problem concerning the distribution of products to customers. A non-homogenous fleet of trucks with limited capacity and allowed travel time is available to satisfy the stochastic multiple product demand of a set of different types of customers with earliest and latest time for servicing. The objective is to minimize distribution costs while maximizing customer satisfaction and respecting the constraints concerning the vehicle capacity, the time windows for customer service and the driver working hours per day. A model describing all these requirements has been developed as well as a genetic algorithm to solve the problem. High Performance Computing has been used to allow the pursuit for a near-optimal solution in a sensible amount of time, as the parallel chromosome fitness evaluation counterbalances the increased size and complexity of the problem.

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References

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Division of Computer Science, National Technical University of Athens, 9 Iroon Polytechniou, 157 73, Athens, Greece

    Matthew Protonotarios, George Mourkousis, Ioannis Vyridis & Theodora Varvarigou

Authors
  1. Matthew Protonotarios
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  2. George Mourkousis
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  3. Ioannis Vyridis
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  4. Theodora Varvarigou
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Editor information

Editors and Affiliations

  1. Institute of Computer Science and Academic Computer Center CYFRONET, University of Mining and Metallurgy (AGH), al. Mickiewicza 30, 30-059, Cracow, Poland

    Marian Bubak

  2. Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Universiteit van Amsterdam, 1098 SJ, Amsterdam, The Netherlands

    Hamideh Afsarmanesh  & Bob Hertzberger  & 

  3. California Institute of Technology, Caltech 158-79, Pasadena, CA, 91125, USA

    Roy Williams

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© 2000 Springer-Verlag Berlin Heidelberg

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Protonotarios, M., Mourkousis, G., Vyridis, I., Varvarigou, T. (2000). Very Large Scale Vehicle Routing with Time Windows and Stochastic Demand Using Genetic Algorithms with Parallel Fitness Evaluation. In: Bubak, M., Afsarmanesh, H., Hertzberger, B., Williams, R. (eds) High Performance Computing and Networking. HPCN-Europe 2000. Lecture Notes in Computer Science, vol 1823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45492-6_47

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  • DOI: https://doi.org/10.1007/3-540-45492-6_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67553-2

  • Online ISBN: 978-3-540-45492-2

  • eBook Packages: Springer Book Archive

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