Title: Multicast Routing in Networks Using
Computational Intelligence Technique
Abstract: In this paper, a new and effective computational
intelligence technique is proposed. This new approach (named Ant Colony Optimization
with Stages algorithm; ACOS) is presented for constructing minimum-cost multicast
trees. In order to have computers successfully become consumer electronics
for multimedia multicast communication applications, we propose a modified
ant colony optimization multimedia multicast routing approach for the communication
network in this paper. We introduce a stage mechanism in ant colony optimization
to search solutions space for solving the multimedia multicast routing problem.
According to our simulation results, the ACOS algorithm outperforms the ant
colony optimization (ACO) and several well-known existing algorithms in comparison
of multimedia multicast routing problem. In this work, it is observed that
ACOS can provide an improvement for obtaining a global optimum solution or
a near global optimum solution in multimedia multicast routing problem.
Author: Cheng-Fa
Tsai, Jing-Syuan Jia, and Wun-Jhuan Li