Gaussian Variable Neighborhood Search for the File Transfer Scheduling Problem
Yugoslav journal of operations research, Tome 26 (2016) no. 2, p. 173
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This paper presents new modifications of Variable Neighborhood
Search approach for solving the file transfer scheduling problem. To obtain
better solutions in a small neighborhood of a current solution, we implement
two new local search procedures. As Gaussian Variable Neighborhood Search
showed promising results when solving continuous optimization problems, its
implementation in solving the discrete file transfer scheduling problem is also
presented. In order to apply this continuous optimization method to solve the
discrete problem, mapping of uncountable set of feasible solutions into a finite set
is performed.
Both local search modifications gave better results for the large size instances,
as well as better average performance for medium and large size instances. One
local search modification achieved significant acceleration of the algorithm. The
numerical experiments showed that the results obtained by Gaussian modifications are comparable with the results obtained by standard VNS based algorithms,
developed for combinatorial optimization. In some cases Gaussian modifications gave even better results.
Classification :
90C59, 68T20, 05C90
Keywords: Combinatorial Optimization, Variable Neighborhood Search, Gaussian Variable Neighborhood Search, File Transfer Scheduling Problem.
Keywords: Combinatorial Optimization, Variable Neighborhood Search, Gaussian Variable Neighborhood Search, File Transfer Scheduling Problem.
@article{YJOR_2016_26_2_a2,
author = {Zorica Dra\v{z}i\'c},
title = {Gaussian {Variable} {Neighborhood} {Search} for the {File} {Transfer} {Scheduling} {Problem}},
journal = {Yugoslav journal of operations research},
pages = {173 },
year = {2016},
volume = {26},
number = {2},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_2016_26_2_a2/}
}
Zorica Dražić. Gaussian Variable Neighborhood Search for the File Transfer Scheduling Problem. Yugoslav journal of operations research, Tome 26 (2016) no. 2, p. 173 . http://geodesic.mathdoc.fr/item/YJOR_2016_26_2_a2/