Jorge Crichigno

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This paper presents a new version of a multiobjective multicast routing algorithm (MMA) for traffic-engineering, based on the strength Pareto evolutionary algorithm (SPEA), which simultaneously optimizes the maximum link utilization, the cost of the tree, the maximum end-to-end delay and the average delay. In this way, a set of optimal solutions, known as(More)
Multicast routing problem in computer networks, with more than one objective to consider, like cost and delay, is usually treated as a mono-objective Optimization Problem, where the cost of the tree is minimized subject to a priori restrictions on the delays from the source to each destination. This paper presents a new multicast algorithm based on the(More)
This paper presents a new traffic engineering multitree-multiobjeetive multicast routing algorithm (M-MMA) that solves for the first time the GMM model for Dynamic Multicast Groups. Multitree traffic engineering uses several trees to transmit a multicast demand from a source to a set of destinations in order to balance traffic load, improving network(More)
—The routing problem in Wireless Mesh Networks is concerned with finding " good " source-destination paths. It generally faces multiple objectives to be optimized, such as i) path capacity, which accounts for the bits per second that can be sent along the path connecting the source to the destination node, and ii) end-to-end delay. This paper presents the(More)
—In this paper, we present a multi-objective Integer Linear Program (ILP) for the joint throughput optimization and traffic engineering problem in Wavelength-Division Multi-plexing (WDM) networks. The proposed model simultaneously maximizes the aggregated throughput, minimizes the resource consumption, and achieves load balancing by minimizing the maximum(More)
—We present a multi-objective optimization approach for joint throughput optimization and traffic engineering, where the routing request of traffic arrives one-by-one. We provide an Integer Linear Program (ILP) that simultaneously i) maximizes the aggregate throughput, ii) minimizes the resource consumption, and iii) minimizes the maximum link utilization.(More)
In this paper, we present a linear programming formulation for the throughput optimization problem in wireless networks that support multi-packet reception (MPR) capability. The formulation takes into account the use of both directional and omni-directional antennas as well as the use of multiple transmitter interfaces per node. The joint routing and(More)