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A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study

Author

Listed:
  • Nasrin Asgari

    (University of Roehampton)

  • Mohsen Rajabi

    (Tehran University)

  • Masoumeh Jamshidi

    (Amirkabir University of Technology)

  • Maryam Khatami

    (Texas A&M University)

  • Reza Zanjirani Farahani

    (Kingston University)

Abstract

This paper proposes a model for obnoxious waste location-routing problem (LRP) considering various types of wastes and several treatment technologies. The investigated distribution network includes three echelons of generation nodes, treatment and disposal facilities. A multi-objective LRP model is developed with three objective functions minimizing the treatment and disposal facility undesirability, different costs related to the problem, and eventually the risk associated with transportation of untreated materials. An effective memetic algorithm is developed in which a tabu search algorithm performs the local search. Comparison of exact and meta-heuristic methods run times confirms that the proposed method is effective. Eventually, the developed algorithm is tested on a real-life case study.

Suggested Citation

  • Nasrin Asgari & Mohsen Rajabi & Masoumeh Jamshidi & Maryam Khatami & Reza Zanjirani Farahani, 2017. "A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study," Annals of Operations Research, Springer, vol. 250(2), pages 279-308, March.
    • Handle: RePEc:spr:annopr:v:250:y:2017:i:2:d:10.1007_s10479-016-2248-7
    DOI: 10.1007/s10479-016-2248-7
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