DocumentCode :
2136121
Title :
An ant algorithm for solving the four-coloring map problem
Author :
Hongshun Chen ; Peng Zhou
Author_Institution :
Sch. of Inf. Technol., Beijing Normal Univ., Zhuhai, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
491
Lastpage :
495
Abstract :
An undirected graph can demonstrate adjacency relationships among regions in a planar map, and the four-coloring map problem is then converted into a graph vertex coloring problem with constraints. In order to solve the graph vertex coloring problem, an ant algorithm hybridized with a greedy algorithm was proposed. In this algorithm, ants in an ant colony with a given size separately move from one vertex to another according to their transition probability, and a greedy algorithm is used to initialize the proposed algorithm for improving its efficiency. Finally, the improved algorithm was tested by coloring the administrative map of Hunan Province, China, and results show that it is good at finding the optimal value, speed and stability.
Keywords :
ant colony optimisation; computational complexity; graph colouring; greedy algorithms; China; Hunan Province; NP-complete problem; administrative map; ant colony algorithm; constraints; four-coloring map problem; graph vertex coloring problem; greedy algorithm; transition probability; Algorithm design and analysis; Color; Computers; Educational institutions; Greedy algorithms; Optimization; Particle swarm optimization; ant algorithm; combinatorial optimization; four-coloring problem; graph coloring problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6818026
Filename :
6818026
Link To Document :
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