The Coupled EigenAnt algorithm for shortest path problems

被引:0
作者
Kaszkurewicz, Eugenius [1 ]
Bhaya, Amit [1 ]
Jayadeva
Meirelles da Silva, Joao Marcos [1 ,2 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Delhi, India
[2] Univ Fed Fluminense, Dept Telecommun Engn, BR-24220000 Niteroi, RJ, Brazil
来源
2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2014年
关键词
ANT COLONY OPTIMIZATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper introduces an ACO model and associated algorithm, called Coupled EigenAnt, for the problem of finding the shortest of N paths between a source and a destination node. It is based on the recently introduced EigenAnt algorithm, the novelty being that it allows probabilistic path choice on both the forward and return journeys, as well as the fact that it introduces decay of pheromone deposition following a geometric progression. Equilibrium points of the model are calculated and the local stability of the two path synchronous version analyzed. Simulations illustrate the main features of the algorithm.
引用
收藏
页码:1729 / 1735
页数:7
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