DocumentCode :
2916379
Title :
A hybrid simulated annealing algorithm for the Bipartite Crossing Number Minimization Problem
Author :
Srivastava, Kamal ; Sharma, Reeti
Author_Institution :
Dept. of Math., Dayalbagh Educ. Inst., Agra
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
2948
Lastpage :
2954
Abstract :
The bipartite crossing number of a bipartite graph is the minimum number of crossings of edges when the partitions are placed on two parallel lines and edges are drawn as straight line segments between the lines. In this paper, a simulated annealing algorithm is designed which exploits the relationship between the linear arrangement problem and the bipartite crossing number minimization problem. The initial ordering of the vertices is provided by the spectral sequencing technique. Extensive tests on several benchmark graphs show that in a majority of the cases there is a considerable improvement in the crossing number when compared with the best known results.
Keywords :
graph theory; minimisation; simulated annealing; bipartite crossing number minimization problem; bipartite graph; hybrid simulated annealing algorithm; line segments; spectral sequencing technique; Costs; Evolutionary computation; Minimization methods; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
Type :
conf
DOI :
10.1109/CEC.2008.4631195
Filename :
4631195
Link To Document :
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