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Multi-strategy grouping genetic algorithm for the pickup and delivery problem with time windows

Published: 12 June 2009 Publication History

Abstract

The Pickup and Delivery Problem with Time Windows (PDPTW) is a generalization of the well studied Vehicle Routing Problem with Time Windows (VRPTW). This paper studies a Grouping Genetic Algorithm for solving the PDPTW. The insertion-searching heuristics (in GGA) which can generate feasible solutions was improved, new data structures were built, and then three routing adjustment strategies were added to come up with the Multi-Strategy Grouping Genetic Algorithm (MSGGA). The PDPTW benchmark problems with 100 customers are calculated with MSGGA, and the comparison between the result and that of the reference shows that the new algorithm shortens the calculating time with its astringency, better solutions of four cases are obtained and stability is improved.

References

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Dumas Y, Desrosiers J, Soumis F. 1991. The Pickup and Delivery Problem with Time Windows. European Journal of Operational Research 54, 7--22.
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Lenstra J.K., Rinnooy K. 1981. Complexity of Vehicle Routing and Scheduling Problem. Networks 11, 221--227.
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Giselher, Pankratz. 2006. A Grouping Genetic Algorithm for the Pickup and Delivery Problem with Time Windows. Submitted for publication (available from ftp://ftp.fernuni-hangen.de/pub/fachb/wiwi/winf/forschng/publi/gp_p5_neu.pdf).
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Potter T, Bossomaier T. 1995. Solving Vehicle Routing Problem with Genetic Algorithms. Computer Society, Los Alamitos, California, 788--793.
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Jih, W.-R, Hsu,Y.-J. 1999. Dynamic Vehicle Routing Using Hybrid Genetic Algorithms. Computer Society, Los Alamitos, Califonia, 453--458.
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Schonberger.J, Kopfer.H, Mattfeld.DC. 2002. A Combined Approach to Solve the Pickup and Delivery Selection Problem. Operations Research Proceedings, 150--155.
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Kopfer. H, Pankratz. G, Erkens. E. 1994. Die Entwicklung eines hybriden Genetischen Algorithmus fur das Tourenplanungs problem. Operational Research 16, 21--32.
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Blanton J. L, Wainwright R. L. 1993. Multiple Vehicle Routing with Time and Capacity Constraints using Genetic Algorithms. Forrest S(ed) Proceedings of the Fifth International Conference on Genetic Algorithms, 452--459.
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Cited By

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  • (2016)Evolutionary Multiobjective Optimization for the Pickup and Delivery Problem with Time Windows and DemandsMobile Networks and Applications10.1007/s11036-016-0709-521:1(175-190)Online publication date: 1-Feb-2016
  • (2014)R2 indicator based multiobjective memetic optimization for the pickup and delivery problem with time windows and demands (PDP-TW-D)Proceedings of the 8th International Conference on Bioinspired Information and Communications Technologies10.4108/icst.bict.2014.258229(43-50)Online publication date: 1-Dec-2014
  • (2012)Combining heuristic and exact methods to solve the vehicle routing problem with pickups, deliveries and time windowsProceedings of the 12th European conference on Evolutionary Computation in Combinatorial Optimization10.1007/978-3-642-29124-1_6(63-74)Online publication date: 11-Apr-2012
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cover image ACM Conferences
GEC '09: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
June 2009
1112 pages
ISBN:9781605583266
DOI:10.1145/1543834
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 June 2009

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Author Tags

  1. genetic algorithm
  2. grouping genetic algorithm
  3. multi-strategy grouping genetic algorithm
  4. pickup and delivery problem with time windows
  5. vehicle routing problem

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Cited By

View all
  • (2016)Evolutionary Multiobjective Optimization for the Pickup and Delivery Problem with Time Windows and DemandsMobile Networks and Applications10.1007/s11036-016-0709-521:1(175-190)Online publication date: 1-Feb-2016
  • (2014)R2 indicator based multiobjective memetic optimization for the pickup and delivery problem with time windows and demands (PDP-TW-D)Proceedings of the 8th International Conference on Bioinspired Information and Communications Technologies10.4108/icst.bict.2014.258229(43-50)Online publication date: 1-Dec-2014
  • (2012)Combining heuristic and exact methods to solve the vehicle routing problem with pickups, deliveries and time windowsProceedings of the 12th European conference on Evolutionary Computation in Combinatorial Optimization10.1007/978-3-642-29124-1_6(63-74)Online publication date: 11-Apr-2012
  • (2011)Solving software module clustering problem by evolutionary algorithms2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE.2011.5930112(154-159)Online publication date: May-2011
  • (2010)Simulation evaluation for on-demand bus system with electrical vehiclesIntelligent Decision Technologies10.3233/IDT-2010-00924:4(307-314)Online publication date: 1-Dec-2010

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