References
- J. Kennedy and R. C. Eberhart. Particle swarm optimization. In Proceedings of IEEE International Conference on Neural Networks, volume 4, pages 1942–1948, 1995.
- R. C. Eberhart and J. Kennedy. A new optimizer using particle swarm theory. In Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pages 39–43, 1995.
- M. Clerc and J. Kennedy. The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation, 6(1):58–73, 2002.
- F. Van den Bergh and A. P. Engelbrecht. A study of particle swarm optimization particle trajectories. Information Sciences, 176(8):937–971, 2006.
- R. Mendes, J. Kennedy, and J. Neves. The fully informed particle swarm: Simpler, maybe better. IEEE Transactions on Evolutionary Computation, 8(3):204–210, 2004.
- R. C. Eberhart and Y. Shi. Comparing inertia weights and constriction factors in particle swarm optimization. In Proceedings of the 2000 Congress on Evolutionary Computation, pages 84–88, 2000.
- F. Van den Bergh and A. P. Engelbrecht. A cooperative approach to particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3):225–239, 2004.
- S. Janson and M. Middendorf. A hierarchical particle swarm optimizer and its adaptive variant. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 35(6):1272–1282, 2005.
- S. T. Hsieh, T. Y. Sun, C. C. Liu, and S. J. Tsai. Efficient population utilization strategy for particle swarm optimizer. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 39(2):444–456, 2009.
- Z. H. Zhan, J. Zhang, Y. Li, and H. S. H. Chung. Adaptive particle swarm optimization. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 39(6):1362–1381, 2009.
- S. Kiranyaz, T. Ince, A. Yildirim, and M. Gabbouj. Fractional particle swarm optimization in multidimensional search space. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 40(2):298–319, 2010.
- K. E. Parsopoulos and M. N. Vrahatis. On the computation of all global minimizers through particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3):211–224, 2004.
- C. A. C. Coello, G. T. Pulido, and M. S. Lechuga. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3):256–279, 2004.
- T. Blackwell and J. Branke. Multi-swarm optimization in dynamic environments. Applications of Evolutionary Computing, 3005:489–500, 2004.
- Y. Jin and H. Branke. Evolutionary optimization in uncertain environments - A survey. IEEE Transactions on Evolutionary Computation, 9(3):303–317, 2005.
- T. Blackwell and J. Branke. Multiswarms, exclusion, and anti-convergence in dynamic environments. IEEE Transactions on Evolutionary Computation, 10(4):459–472, 2006.
- L. L. Liu, S. X. Yang, and D. W. Wang. Particle swarm optimization with composite particles in dynamic environments. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 40(6):1634–1648, 2010.
- R. Brits, A. P. Engelbrecht, and F. Van den Bergh. Locating multiple optima using particle swarm optimization. Applied Mathematics and Computation, 189(2):1859–1883, 2007.
- R. C. Eberhart and Y. Shi. Tracking and optimizing dynamic systems with particle swarms. In Proceedings of the 2001 Congress on Evolutionary Computation, pages 94–100, 2001.
- D. Parrott and X. D. Li. Locating and tracking multiple dynamic optima by a particle swarm model using speciation. IEEE Transactions on Evolutionary Computation, 10(4):440–458, 2006.
- X. Q. Zhang, W. M. Hu, W. Qu, and S. Maybank. Multiple object tracking via speciesbased particle swarm optimization. IEEE Transactions on Circuits and Systems for Video Technology, 20(11):1590–1602, 2010.
- Y. H. Zheng and Y. Meng. Swarm intelligence based dynamic object tracking. In Proceedings of 2008 IEEE Congress on Evolutionary Computation, pages 405–412, 2008.
- A. A. A. Esmin, G. Lambert-Torres, and A. C. Z. de Souza. A hybrid particle swarm optimization applied to loss power minimization. IEEE Transactions on Power Systems, 20(2):859–866, 2005.
- C. F. Juang. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 34(2):997–1006, 2004.
- J. R. Zhang, J. Zhang, T. M. Lok, and M. R. Lyu. A hybrid particle swarm optimizationback-propagation algorithm for feedforward neural network training. Applied Mathematics and Computation, 185(2):1026–1037, 2007.
- G. Ciuprina, D. Ioan, and I. Munteanu. Use of intelligent-particle swarm optimization in electromagnetics. IEEE Transactions on Magnetics, 38(2):1037–1040, 2002.
- Z. L. Gaing. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion, 19(2):384–391, 2004.
- L. Messerschmidt and A. P. Engelbrecht. Learning to play games using a PSO-based competitive learning approach. IEEE Transactions on Evolutionary Computation, 8(3):280–288, 2004.
- E. Ozcan and C. K. Mohan. Analysis of a simple particle swarm optimization system. In Proceedings of Intelligent Engineering Systems Through Artificial Neural Networks, volume 8, pages 253–258, 1998.
- E. Ozcan and C. K. Mohan. Particle swarm optimization: surfing the waves. In Proceedings of the 1999 Congress on Evolutionary Computation, volume 3, pages 1939–1944, 1999.
- I. C. Trelea. The particle swarm optimization algorithm: convergence analysis and parameter selection. Information Processing Letters, 85(6):317–325, 2003.
- V. Kadirkamanathan, K. Selvarajah, and P. J. Fleming. Stability analysis of the particle dynamics in particle swarm optimizer. IEEE Transactions on Evolutionary Computation, 10(3):245–255, 2006.
- M. Jiang, Y. P. Luo, and S. Y. Yang. Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm. Information Processing Letters, 102(1):8–16, 2007.
- R. Poli. Mean and variance of the sampling distribution of particle swarm optimizers during stagnation. IEEE Transactions on Evolutionary Computation, 13(4):712–721, 2009.
- M. R. Rapaic and Z. Kanovic. Time-varying PSO - convergence analysis, convergence related parameterization and new parameter adjustment schemes. Information Processing Letters, 109:548–552, 2009.
- J. L. Fernandez-Martinez and E. Garcia-Gonzalo. Stochastic stability analysis of the linear continuous and discrete PSO models. IEEE Transactions on Evolutionary Computation, 15(3):405–423, 2011.
- Y. Shi and R. C. Eberhart. A modified particle swarm optimizer. In Proceedings of IEEE World Congress on Computational Intelligence, pages 69–73, 1998.
- Y. Shi and R. C. Eberhart. Empirical study of particle swarm optimization. In Proceedings of the 1999 Congress on Evolutionary Computation, volume 3, pages 1945–1950, Piscataway, NJ, USA, 1999.