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Theoretical Computer Science
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Theoretical Computer Science
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Elementary landscape decomposition of the frequency assignment problem

Authors: Francisco Chicano; L. Darrell Whitley; Enrique Alba 0001; Francisco Luna 0001;

Elementary landscape decomposition of the frequency assignment problem

Abstract

The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph coloring problem. In this paper we study a general version of the FAP that can include adjacent frequency constraints. Using concepts from landscapes’ theory, we prove that this general FAP can be expressed as a sum of two elementary landscapes. Further analysis also shows that some subclasses of the problem correspond to a single elementary landscape. This allows us to compute the kind of neighborhood information that is normally associated with elementary landscapes. We also provide a closed form formula for computing the autocorrelation coefficient for the general FAP, which can be useful as an a priori indicator of the performance of a local search method.

This work has been partially funded by the Spanish Ministry of Science and Spanish Ministry of Science and Innovation and FEDER under contract TIN2008-06491-C04-01 (the M∗ project). Andalusian Government under contract P07-TIC-03044 (DIRICOM project). Air Force Office of Scientific Research, Air Force Materiel Command, USAF, under grant number FA9550-08-1-0422.

Theoretical Computer Science 412(43),2011, pp.6002-6019

Country
Spain
Keywords

Elementary landscapes, Combinatorial optimization, elementary landscapes, 330, fitness landscapes, Frequency assignment, 004, Theoretical Computer Science, Coloring of graphs and hypergraphs, Communication networks in operations research, frequency assignment, Fitness landscapes, Matemáticas computacionales, Computer Science(all)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
Green
hybrid