DocumentCode :
2754915
Title :
A Metaheuristic Approach to the Graceful Labeling Problem of Graphs
Author :
Mahmoudzadeh, Houra ; Eshghi, Kourosh
Author_Institution :
Dept. of Ind. Eng., Sharif Univ. of Technol., Tehran
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
84
Lastpage :
91
Abstract :
In this paper, an algorithm based on ant colony optimization metaheuristic is proposed for finding solutions to the well-known graceful labeling problem of graphs. Despite the large number of papers published on the theory of this problem, there are few particular techniques introduced by researchers for gracefully labeling graphs. The proposed algorithm is applied to many classes of graphs, and the results obtained have proven satisfactory when compared to those of the existing methods in the literature
Keywords :
graph theory; optimisation; ant colony optimization; graceful labeling problem; graphs; metaheuristic approach; Ant colony optimization; Industrial engineering; Labeling; Linear programming; Mathematical programming; Particle swarm optimization; Tree graphs; Wheels; Ant Colony Optimization; Graceful Graphs; Graph Labeling; Metaheuristic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Swarm Intelligence Symposium, 2007. SIS 2007. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0708-7
Type :
conf
DOI :
10.1109/SIS.2007.368030
Filename :
4223159
Link To Document :
بازگشت