Ant colony optimization for multi-objective multicast routing

被引：0
|
作者：
Hamed, Ahmed Y. [1 ]
Alkinani, Monagi H. [2 ]
Hassan, M.R. [3 ]
机构：
[1] Department of Computer Science, Faculty of Computers and Information, Sohag University, Sohag,82524, Egypt
[2] Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah,21959, Saudi Arabia
[3] Department of Mathematics and Computer Science, Faculty of Science, Aswan University, Aswan,81528, Egypt
来源：
Computers, Materials and Continua | 2020年 / 63卷 / 03期
关键词：
Ant colony optimization - Forestry - Routing algorithms - Trees (mathematics) - Multimedia systems - Multicasting;
D O I：
10.32604/CMC.2020.09176
中图分类号：
学科分类号：
摘要：
In the distributed networks, many applications send information from a source node to multiple destination nodes. To support these applications requirements, the paper presents a multi-objective algorithm based on ant colonies to construct a multicast tree for data transmission in a computer network. The proposed algorithm simultaneously optimizes total weight (cost, delay and hop) of the multicast tree. Experimental results prove the proposed algorithm outperforms a recently published Multi-objective Multicast Algorithm specially designed for solving the multicast routing problem. Also, it is able to find a better solution with fast convergence speed and high reliability. © 2020 Tech Science Press. All rights reserved.
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页码：1159 / 1173
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