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We consider the problem of large-scale parameter estimations in nonlinear dynamic models of biochemical systems. In this work, the particle swarm optimization (PSO) method is adapted for estimation of model parameters in highly nonlinear, large-scale metabolic networks in systems biology. PSO is a recently developed novel metaheuristic optimization method. And with the modification of the essential...
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