A modified ant colony system for finding the expected shortest path in networks with variable arc lengths and probabilistic nodes

作者：Farhanchi Mojtaba; Hassanzadeh Reza; Mahdavi Iraj^*; Mahdavi Amiri Nezam

来源：Applied Soft Computing, 2014, 21: 491-500.

DOI：10.1016/j.asoc.2014.03.020

• Ant colony system (ACS)
• Stochastic networks
• Expected shortest path
• Probabilistic nodes
• Random arc lengths

The problem of finding the expected shortest path in stochastic networks, where the presence of each node is probabilistic and the arc lengths are random variables, have numerous applications, especially in communication networks. The problem being NP-hard we use an ant colony system (ACS) to propose a metaheuristic algorithm for finding the expected shortest path. A new local heuristic is formulated for the proposed algorithm to consider the probabilistic nodes. The arc lengths are randomly generated based on the arc length distribution functions. Examples are worked out to illustrate the applicability of the proposed approach.

• 出版日期2014-8