The improved ColourAnt algorithm: a hybrid algorithm for solving the graph colouring problem

被引:5
|
作者
da Silva, Anderson Faustino [1 ]
Rodriguez, Luis Gustavo Araujo [2 ]
Fabricio Filho, Joao [3 ]
机构
[1] Univ Estadual Maringa, Dept Informat, Maringa, PR, Brazil
[2] Univ Sao Paulo, Grad Sch Comp Sci, Sao Paulo, SP, Brazil
[3] Fed Univ Technol, Campo Mourao, PR, Brazil
关键词
graph colouring; metaheuristic; ant colony optimisation; ACO; ANTS;
D O I
10.1504/IJBIC.2020.109000
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The graph colouring problem is interesting because of its application areas, ranging from register allocation, frequency association in telecommunications, timetabling and scheduling, and others. This problem is NP-complete and thus, several metaheuristic algorithms have been proposed in order to provide a good solution in an acceptable time-frame. Among several metaheuristics, this paper focuses on ant colony optimisation. In this context, a hybrid algorithm was developed called iColourAnt, which uses ant colony optimisation and an efficient local search strategy, consequently providing good solutions to the graph colouring problem. The experiment results indicate that iColourAnt outperforms its predecessor, ColourAnt.
引用
收藏
页码:1 / 12
页数:12
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