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Multi-Objective Multicast Routing based on Ant Colony Optimization
Pinto, Diego; Barán, Benjamín; Fabregat Gesa, Ramon
This work presents a new multiobjective algorithm based on ant colonies, which is used in the construction of the multicast tree for data transmission in a computer network. The proposed algorithm simultaneously optimizes cost of the multicast tree, average delay and maximum end-to-end delay. In this way, a set of optimal solutions, know as Pareto set, is calculated in only one run of the algorithm, without a priori restrictions. The proposed algorithm was inspired in a Multi-objective Ant Colony System (MOACS). Experimental results prove the proposed algorithm outperforms a recently published Multiobjective Multicast Algorithm (MMA), specially designed for solving the multicast routing problem
Algorismes
Algorithms
Telecomunicació -- Tràfic
Telecommunication -- Traffic
Protocols de xarxes d'ordinadors
Computer network protocols
Optimització matemàtica
Mathematical optimization
Tots els drets reservats
Artículo
info:eu-repo/semantics/submittedVersion
Associació Catalana d'Intel·ligència Artificial
         

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