EconPapers    
Economics at your fingertips  
 

Efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem

D. Karapetyan and G. Gutin

European Journal of Operational Research, 2012, vol. 219, issue 2, 234-251

Abstract: The generalized traveling salesman problem (GTSP) is a well-known combinatorial optimization problem with a host of applications. It is an extension of the Traveling Salesman Problem (TSP) where the set of cities is partitioned into so-called clusters, and the salesman has to visit every cluster exactly once.

Keywords: Heuristics; Local search; Neighborhood; Generalized traveling salesman problem; Combinatorial optimization (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221712000288
Full text for ScienceDirect subscribers only

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:eee:ejores:v:219:y:2012:i:2:p:234-251

DOI: 10.1016/j.ejor.2012.01.011

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ejores:v:219:y:2012:i:2:p:234-251