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Title: Large neighborhood search for the double traveling salesman problem with multiple stacks

Abstract

This paper considers a complex real-life short-haul/long haul pickup and delivery application. The problem can be modeled as double traveling salesman problem (TSP) in which the pickups and the deliveries happen in the first and second TSPs respectively. Moreover, the application features multiple stacks in which the items must be stored and the pickups and deliveries must take place in reserve (LIFO) order for each stack. The goal is to minimize the total travel time satisfying these constraints. This paper presents a large neighborhood search (LNS) algorithm which improves the best-known results on 65% of the available instances and is always within 2% of the best-known solutions.

Authors:
 [1];  [2]
  1. Los Alamos National Laboratory
  2. BROWN UNIV
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
956471
Report Number(s):
LA-UR-09-00056; LA-UR-09-56
TRN: US201013%%180
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Conference
Resource Relation:
Conference: Inter. Conf. on Integration of AI and OR Techniques in CP 2009 ; May 27, 2009 ; Pittsburg, PA
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTERS

Citation Formats

Bent, Russell W, and Van Hentenryck, Pascal. Large neighborhood search for the double traveling salesman problem with multiple stacks. United States: N. p., 2009. Web.
Bent, Russell W, & Van Hentenryck, Pascal. Large neighborhood search for the double traveling salesman problem with multiple stacks. United States.
Bent, Russell W, and Van Hentenryck, Pascal. 2009. "Large neighborhood search for the double traveling salesman problem with multiple stacks". United States. https://www.osti.gov/servlets/purl/956471.
@article{osti_956471,
title = {Large neighborhood search for the double traveling salesman problem with multiple stacks},
author = {Bent, Russell W and Van Hentenryck, Pascal},
abstractNote = {This paper considers a complex real-life short-haul/long haul pickup and delivery application. The problem can be modeled as double traveling salesman problem (TSP) in which the pickups and the deliveries happen in the first and second TSPs respectively. Moreover, the application features multiple stacks in which the items must be stored and the pickups and deliveries must take place in reserve (LIFO) order for each stack. The goal is to minimize the total travel time satisfying these constraints. This paper presents a large neighborhood search (LNS) algorithm which improves the best-known results on 65% of the available instances and is always within 2% of the best-known solutions.},
doi = {},
url = {https://www.osti.gov/biblio/956471}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2009},
month = {Thu Jan 01 00:00:00 EST 2009}
}

Conference:
Other availability
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