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D. Pinto and B. Baran, “Solving Multi-objective Multicast Routing Problem with a New Ant Colony Optimization Approach,” Proceeding of 3rd International IFIP/ACM Latin American Conference on Networking, New York, 2005, pp. 11-19.

has been cited by the following article:

• TITLE: A Multi-objective QoS Optimization with Fuzzy Based Parameter Setting for Real-Time Multicasting

  AUTHORS: Satyananda Champati Rai, Bijan Bihari Misra, Ajit Kumar Nayak, Rajib Mall, Sateesh Kumar Pradhan

  KEYWORDS: Qos, Fuzzy, Multicast, Real-Time, Multi-Objective

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.3 No.6, June 29, 2010

  ABSTRACT: We propose a multi-objective Pareto-optimal technique using Genetic Algorithm (GA) for group communication, which determines a min-cost multicast tree satisfying end-to-end delay, jitter, packet loss rate and blocking probability constraints. The model incorporates a fuzzy-based selection technique for initialization of QoS parameter values at each instance of multicasting. The simulation results show that the proposed algorithm satisfies on-demand QoS requirements (like high availability, good load balancing and fault-tolerance) made by the hosts in varying topology and bursty data traffic in multimedia communication networks.