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Soft Computing

, Volume 22, Issue 9, pp 2851–2865 | Cite as

Adaptive large neighborhood search heuristic for pollution-routing problem with simultaneous pickup and delivery

  • Setareh Majidi
  • Seyyed-Mahdi Hosseini-Motlagh
  • Joshua Ignatius
Methodologies and Application

Abstract

This paper deals with the pollution-routing problem with simultaneous pickup and delivery, where the goal is to minimize fuel consumption and emissions by scheduling and routing customers. A nonlinear mix integer programing model is presented for this problem, and an adaptive large neighborhood search heuristic is proposed for the solution method including new removal and insertion operators. Also a heuristic algorithm is proposed to construct the initial solution. The proposed method is validated by computational experiments conducted on two classes of benchmark instances. The experiments further show that our proposed heuristic outperforms related heuristics and improved the results of existing literature.

Keywords

PRPSPD Simultaneous pickup and delivery Fuel consumption and emissions ALNS 

Notes

Acknowledgements

The third author would like to acknowledge the Fundamental Research Grant Scheme (FRGS) by the Ministry of Higher Education of Malaysia (Grant No. 203/PMATHS/6711364), which made this cooperation possible.

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interests regarding the publication of this paper.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.School of Industrial EngineeringIran University of Science and TechnologyTehranIran
  2. 2.School of Mathematical SciencesUniversiti Sains MalaysiaGelugorMalaysia
  3. 3.Warwick Manufacturing GroupUniversity of WarwickCoventryUK

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