TY - EJOU AU - Hamed, Ahmed Y. AU - Alkinani, Monagi H. AU - Hassan, M. R. TI - A Genetic Algorithm Optimization for Multi-Objective Multicast Routing T2 - Intelligent Automation \& Soft Computing PY - 2020 VL - 26 IS - 6 SN - 2326-005X AB - Many applications require to send information from a source node to multiple destinations nodes. To support these applications, the paper presents a multi-objective based genetic algorithm, which is used in the construction of the multicast tree for data transmission in a computer network. The proposed algorithm simultaneously optimizes total weights (cost, delay, and hop) of the multicast tree. Experimental results prove that the proposed algorithm outperforms a recently published Multi-objective Multicast Algorithm specially designed for solving the multicast routing problem. Also, the proposed approach has been applied to ten-node and twenty-node network to illustrate its efficiency. In addition, the execution time is reported for each studied case and the obtained results are compared with the results obtained by the previously based ant colony algorithm presented recently to solve the same problem. Finality, summing up the three objectives (cost, delay, and hop) to be one objective called the weight of the tree to speed up the searching process by using the proposed algorithm to find the best solutions. KW - Multimedia communication; multicast routing; genetic algorithm; cost; delay; hop DO - 10.32604/iasc.2020.012663