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Differential Evolution (DE) which has been focused on computation intelligence is a new swarm intelligent algorithm by simulating intelligence of population after GA and PSO etc. It is more robust and efficient. Because the differential degree of individuals is minimized in the last, the diversity of population will be reduced and DE will converge ahead of schedule. It is well known that simulated...
Particle swarm optimization (PSO) often traps in the local optimal solutions. In this paper, an opposition-based disturbance procedure was introduced into a basic PSO, which was abbreviated as PSOOD. For this proposed algorithm, opposition-based disturbance was implemented according to the probability when the personal best position was updated for each particle. Such procedure not only avoids the...
To overcome the drawback of premature convergence of standard particle swarm optimization (PSO) especially when solving high-dimension functions, this paper provided a modified particle swarm optimization(MPSO) based on optimum-selecting by probability and explosive searching strategy. In each iteration, every particle selects individual gbest with optimum-selecting by probability and takes explosive...
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