Variable Neighborhood Search for Minimum Linear Arrangement Problem
Yugoslav journal of operations research, Tome 26 (2016) no. 1, p. 3
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The minimum linear arrangement problem is widely used and studied
in many practical and theoretical applications. It consists of finding an embedding
of the nodes of a graph on the line such that the sum of the resulting edge lengths is
minimized. This problem is one among the classical NP-hard optimization problems and therefore, there has been extensive research on exact and approximative
algorithms. In this paper we present an implementation of a variable neighbor-
hood search (VNS) for solving minimum linear arrangement problem. We use
Skewed general VNS scheme witch appeared to be successful in solving some
recent optimization problems on graphs. Based on computational experiments,
we argue that our approach is comparable with the state-of-the-art heuristic.
Classification :
90B06, 90C05, 90C08
Keywords: Graphs, Optimization, Minimum linear arrangement problem, Variable neighborhood search.
Keywords: Graphs, Optimization, Minimum linear arrangement problem, Variable neighborhood search.
@article{YJOR_2016_26_1_a0,
author = {Nenad Mladenovi\'c and Dragan Uro\v{s}evi\'c and Dionisio P\'erez-Brit},
title = {Variable {Neighborhood} {Search} for {Minimum} {Linear} {Arrangement} {Problem}},
journal = {Yugoslav journal of operations research},
pages = {3 },
year = {2016},
volume = {26},
number = {1},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_2016_26_1_a0/}
}
TY - JOUR AU - Nenad Mladenović AU - Dragan Urošević AU - Dionisio Pérez-Brit TI - Variable Neighborhood Search for Minimum Linear Arrangement Problem JO - Yugoslav journal of operations research PY - 2016 SP - 3 VL - 26 IS - 1 UR - http://geodesic.mathdoc.fr/item/YJOR_2016_26_1_a0/ LA - en ID - YJOR_2016_26_1_a0 ER -
Nenad Mladenović; Dragan Urošević; Dionisio Pérez-Brit. Variable Neighborhood Search for Minimum Linear Arrangement Problem. Yugoslav journal of operations research, Tome 26 (2016) no. 1, p. 3 . http://geodesic.mathdoc.fr/item/YJOR_2016_26_1_a0/