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Fast multi-swarm optimatization for dynamic optimization problems.
In the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but also track the trajectory of the changing ...
A particle swarm optimization based memetic algorithm for dynamic optimization problems.
Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic. This paper investigates a particle swarm ...