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This paper studies the load balancing optimization problem in network-coding-based multicast and proposes a modified artificial bee colony algorithm (MABC) to address it. MABC is featured with three novel schemes, including a food source initialization scheme, a novel selection scheme and a neighborhood search scheme. The first scheme generates a set of high-quality food source positions, ensuring...
This paper studies the problem of how to efficiently minimize network coding resource. A modified particle swarm optimization (PSO) algorithm is proposed to tackle the problem, with the concept of path-relinking (PR) integrated into the evolutionary framework. As an efficient local search heuristic that makes use of problem-specific domain knowledge, PR helps strike a better balance between global...
In network coding, intermediate nodes are allowed to mathematically recombine packets received from different incoming links, which helps increase network throughput and accommodate more traffic flows with limited network resources. Coding operations (i.e. packet recombination), however, could cause significant computational cost and thus introduce heavy burden to the network if they are performed...
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