NDLI: Novel VNS Algorithms on Asymmetric Traveling Salesman Problems

Content Provider	IEEE Xplore Digital Library
Author	Piriyaniti, I. Pongchairerks, P.
Copyright Year	2010
Abstract	The Asymmetric Traveling Salesman Problem (ATSP) is one of the most studied combinatorial optimization problems. It is a generalized traveling salesman problem in which distances between a pair of cities need not equal in the opposite direction. Since ATSP belongs to a class of NP-hard problems and the optimal solution cannot be found within an appropriate computation time, many researchers have thus paid their attentions to develop effective heuristics to find out good solutions within a short computation time. This paper proposes various VNS algorithms for ATSP in order to find out for the best algorithm among them. Each of these VNS algorithms is developed based on a distinct combination of neighborhood. In order to compare the performances of the VNS algorithms proposed in this research, these VNS algorithms are run on the benchmark ATSP instances, and the results taken from these algorithms are then compared in terms of solution quality.
Starting Page	407
Ending Page	409
File Size	263555
Page Count	3
File Format	PDF
ISBN	9780769540429
e-ISBN	9781424469628
DOI	10.1109/ICCNT.2010.75
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-23
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	NP-hard Optimization methods Traveling salesman problems Industrial engineering Routing Combinatorial Optimization Problem Vehicles Genetic algorithms NP-hard problem Search methods Cities and towns Computer networks Asymmetric Traveling Salesman Problem Variable Neighborhood Search
Content Type	Text
Resource Type	Article

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