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

Nasrin Asgari, Mohsen Rajabi, Masoumeh Jamshidi, Maryam Khatami and Reza Zanjirani Farahani ()
Additional contact information
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

Annals of Operations Research, 2017, vol. 250, issue 2, No 2, 279-308

Abstract: 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.

Keywords: Obnoxious materials; Location-routing problem (LRP); Memetic algorithm; Multi-criteria decision making (MCDM) (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-016-2248-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:250:y:2017:i:2:d:10.1007_s10479-016-2248-7

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-016-2248-7

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().