A new quantum behaved particle swarm optimization
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Object Tracking via Multi-region Covariance and Particle Swarm Optimization
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Particle Swarm Optimization Based Object Tracking
Fundamenta Informaticae - Swarm Intelligence
Mixed mutation strategy embedded differential evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Quantum mechanics inspired Particle Swarm Optimisation for global optimisation
International Journal of Artificial Intelligence and Soft Computing
Particle Swarm Optimization Based Object Tracking
Fundamenta Informaticae - Swarm Intelligence
Efficient multi-feature PSO for fast gray level object-tracking
Applied Soft Computing
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This paper presents a new variant of Basic Particle Swarm Optimization (BPSO) algorithm named QI-PSO for solving global optimization problems. The QI-PSO algorithm makes use of a multiparent, quadratic crossover/reproduction operator defined by us in the BPSO algorithm. The proposed algorithm is compared it with BPSO and the numerical results show that QIPSO outperforms the BPSO algorithm in all the sixteen cases taken in this study.