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Peer-to-peer (P2P) live streaming applications are very popular in recent years and a Markov open queueing network model was developed to study the population dynamics in P2P live streaming. Based on the model, we deduce an optimization problem, called population transition problem, with the objective of maximizing the probability of universal streaming by manipulating population transition probability matrix. We employ a chemical reaction-inspired metaheuristic, Chemical Reaction Optimizationdoi:10.1109/cec.2010.5585933 dblp:conf/cec/LamXL10 fatcat:xildfyd27vgi5kaq77qs6ohjzy