Given a graph, in the maximum clique problem, one desires to find the largest number of vertices, any two of which are adjacent. A branch-and-bound algorithm for the maximum clique problem--which is computationally equivalent to the maximum independent (stable) set problem--is presented with the vertex order taken from a coloring of the vertices and with a new pruning strategy. The algorithm performs successfully for many instances when applied to random graphs and DIMACS benchmark graphs.
%0 Journal Article
%1 Östergård2002Fast
%A Österg$\backslash$rard, Patric R
%D 2002
%J Discret. Appl. Math.
%K clique graph weight phd schemdesc
%N 1-3
%P 197--207
%R http://dx.doi.org/10.1016/S0166-218X(01)00290-6
%T A fast algorithm for the maximum clique problem
%U http://dx.doi.org/10.1016/S0166-218X(01)00290-6
%V 120
%X Given a graph, in the maximum clique problem, one desires to find the largest number of vertices, any two of which are adjacent. A branch-and-bound algorithm for the maximum clique problem--which is computationally equivalent to the maximum independent (stable) set problem--is presented with the vertex order taken from a coloring of the vertices and with a new pruning strategy. The algorithm performs successfully for many instances when applied to random graphs and DIMACS benchmark graphs.
@article{Östergård2002Fast,
abstract = {Given a graph, in the maximum clique problem, one desires to find the largest number of vertices, any two of which are adjacent. A branch-and-bound algorithm for the maximum clique problem--which is computationally equivalent to the maximum independent (stable) set problem--is presented with the vertex order taken from a coloring of the vertices and with a new pruning strategy. The algorithm performs successfully for many instances when applied to random graphs and DIMACS benchmark graphs.},
added-at = {2013-12-17T09:48:27.000+0100},
author = {\"{O}sterg$\backslash$rard, Patric R},
biburl = {https://www.bibsonomy.org/bibtex/20f2213e676bcb82d486f7c02c890459e/jullybobble},
doi = {http://dx.doi.org/10.1016/S0166-218X(01)00290-6},
interhash = {f7fb8a66a944b94a0f08a2a2767c38a8},
intrahash = {0f2213e676bcb82d486f7c02c890459e},
journal = {Discret. Appl. Math.},
keywords = {clique graph weight phd schemdesc},
month = aug,
number = {1-3},
pages = {197--207},
timestamp = {2014-07-27T15:43:19.000+0200},
title = {{A fast algorithm for the maximum clique problem}},
url = {http://dx.doi.org/10.1016/S0166-218X(01)00290-6},
volume = 120,
year = 2002
}