[۲۶] C. M. Bishop and N. M. Nasrabadi, Pattern recognition and machine learning vol. 1: springer New York, 2006.
[۲۷] R. S. Parpinelli, et al., “Data mining with an ant colony optimization algorithm," Evolutionary Computation, IEEE Transactions on, vol. 6, pp. 321-332, 2002.
[۲۸] O. Cordón, et al., “Genetic fuzzy systems. New developments," Fuzzy Sets and Systems, vol. 141, pp. 1-3, 2004.
[۲۹] R. C. Green, et al., “Training neural networks using central force optimization and particle swarm optimization: insights and comparisons," Expert systems with applications, vol. 39, pp. 555-563, 2012.
[۳۰] R. Eberhart and J. Kennedy, “A new optimizer using particle swarm theory,” in Micro Machine and Human Science, 1995. MHS’95., Proceedings of the Sixth International Symposium on, 1995, pp. 39-43.
[۳۱] T. Krink, et al., “Particle swarm optimisation with spatial particle extension,” in Evolutionary Computation, 2002. CEC’02. Proceedings of the 2002 Congress on, 2002, pp. 1474-1479.
[۳۲] J. Kennedy and R. Mendes, “Population structure and particle swarm performance,” in Evolutionary Computation, 2002. CEC’02. Proceedings of the 2002 Congress on, 2002, pp. 1671-1676.
[۳۳] E. Peer, et al., “Using neighbourhoods with the guaranteed convergence PSO,” in Swarm Intelligence Symposium, 2003. SIS’03. Proceedings of the 2003 IEEE, 2003, pp. 235-242.
[۳۴] F. Van den Bergh and A. P. Engelbrecht, “A cooperative approach to particle swarm optimization," Evolutionary Computation, IEEE Transactions on, vol. 8, pp. 225-239, 2004.
[۳۵] R. Brits, et al., “A niching particle swarm optimizer,” in Proceedings of the 4th Asia-Pacific conference on simulated evolution and learning, 2002, pp. 692-696.
[۳۶] P. N. Suganthan, “Particle swarm optimiser with neighbourhood operator,” in Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on, 1999.
[۳۷] Y. Shi and R. Eberhart, “A modified particle swarm optimizer,” in Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, 1998, pp. 69-73.
[۳۸] Y. Shi, “Particle swarm optimization: developments, applications and resources,” in Evolutionary Computation, 2001. Proceedings of the 2001 Congress on, 2001, pp. 81-86.
[۳۹] J. Peng, et al., “Battery pack state of charge estimator design using computational intelligence approaches,” in Battery Conference on Applications and Advances, 2000. The Fifteenth Annual, 2000, pp. 173-177.
[۴۰] D. Tsou and C. MacNish, “Adaptive particle swarm optimisation for high-dimensional highly convex search spaces,” in Evolutionary Computation, 2003. CEC’03. The 2003 Congress on, 2003, pp. 783-789.
[۴۱] A. Ratnaweera, et al., “Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients," Evolutionary Computation, IEEE Transactions on, vol. 8, pp. 240-255, 2004.
[۴۲] I. De Falco, et al., “Facing classification problems with particle swarm optimization," Applied Soft Computing, vol. 7, pp. 652-658, 2007.
[۴۳] I. De Falco, et al., “Evaluation of particle swarm optimization effectiveness in classification,” in Fuzzy Logic and Applications, ed: Springer, 2006, pp. 164-171.
[۴۴] N. Nouaouria and M. Boukadoum, “Particle swarm classification for high dimensional data sets,” in Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on, 2010, pp. 87-93.
[۴۵] N. Nouaouria, et al., “Particle swarm classification: A survey and positioning," Pattern Recognition, ۲۰۱۳٫
[۴۶] J. Fan and Y. Fan, “High dimensional classification using features annealed independence rules," Annals of statistics, vol. 36, p. 2605, 2008.
[۴۷] I. K. Fodor, “A survey of dimension reduction techniques,” ed: Technical Report UCRL-ID-148494, Lawrence Livermore National Laboratory, 2002.
[۴۸] H. Liu, et al., “A fuzzy adaptive turbulent particle swarm optimisation," International Journal of Innovative Computing and Applications, vol. 1, pp. 39-47, 2007.
[۴۹] L. d. S. Coelho and V. C. Mariani, “A novel chaotic particle swarm optimization approach using Hénon map and implicit filtering local search for economic load dispatch," Chaos, Solitons & Fractals, vol. 39, pp. 510-518, 2009.
[۵۰] X. Wang, et al., “Distributed particle swarm optimization and simulated annealing for energy-efficient coverage in wireless sensor networks," Sensors, vol. 7, pp. 628-648, 2007.
[۵۱] M. Kessentini, et al., “Search-based model transformation by example," Software & Systems Modeling, vol. 11, pp. 209-226, 2012.
[۵۲] V. M. Saffarzadeh, et al., “A Hybrid Approach Using Particle Swarm Optimization and Simulated Annealing For N-queen Problem," Journal of World Academy of Science, Engineering and Technology, vol. 67, pp. 974-978, 2010.
[۵۳] N. Nouaouria and M. Boukadoum, “A particle swarm optimization approach to mixed attribute data-set classification,” in Swarm Intelligence (SIS), 2011 IEEE Symposium on, 2011, pp. 1-8.
[۵۴] J. Kennedy and R. C. Eberhart, “A discrete binary version of the particle swarm algorithm,” in Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on, 1997, pp. 4104-4108.
[۵۵] M. G. Omran, et al., “Dynamic clustering using particle swarm optimization with application in image segmentation," Pattern Analysis and Applications, vol. 8, pp. 332-344, 2006.
[۵۶] J. Moreno-Pérez, et al., “Discrete Particle Swarm Optimization for the p-median problem,” in Proceedings of the 7th metaheuristics international conference, Montréal, Canada, 2007.
[۵۷] S. Consoli, et al., “Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem," Natural Computing, vol. 9, pp. 29-46, 2010.
[۵۸] N. Nouaouria and M. Boukadoum, “A Particle Swarm Optimization Approach for the Case Retrieval Stage in CBR,” in Research and Development in Intelligent Systems XXVII, ed: Springer, 2011, pp. 209-222.
[۵۹] D. Braendler and T. Hendtlass, “The suitability of particle swarm optimisation for training neural hardware,” in Developments in Applied Artificial Intelligence, ed: Springer, 2002, pp. 190-199.
[۶۰] J. Kennedy and R. Mendes, “Neighborhood topologies in fully informed and best-of-neighborhood particle swarms," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 36, pp. 515-519, 2006.
[۶۱] I. C. Trelea, “The particle swarm optimization algorithm: convergence analysis and parameter selection," Information processing letters, vol. 85, pp. 317-325, 2003.
[۶۲] F. Van den Bergh and A. P. Engelbrecht, “A study of particle swarm optimization particle trajectories," Information sciences, vol. 176, pp. 937-971, 2006.
[۶۳] M. Jiang, et al., “Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm," Information processing letters, vol. 102, pp. 8-16, 2007.
[۶۴] B. R. Secrest and G. B. Lamont, “Visualizing particle swarm optimization-Gaussian particle swarm optimization,” in Swarm Intelligence Symposium, 2003. SIS’03. Proceedings of the 2003 IEEE, 2003, pp. 198-204.
[۶۵] P. J. Angeline, “Using selection to improve particle swarm optimization,” in Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, 1998, pp. 84-89.
[۶۶] C. A. Koay and D. Srinivasan, “Particle swarm optimization-based approach for generator maintenance scheduling,” in Swarm Intelligence Symposium, 2003. SIS’03. Proceedings of the 2003 IEEE, 2003, pp. 167-173.
[۶۷] M. Løvbjerg, “Improving particle swarm optimization by hybridization of stochastic search heuristics and self-organized criticality,” Aarhus Universitet, Datalogisk Institut, 2002.
[۶۸] T. Hendtlass, “A combined swarm differential evolution algorithm for optimization problems,” in Engineering of Intelligent Systems, ed: Springer, 2001, pp. 11-18.
[۶۹] S. Das, et al., “Particle swarm optimization and differential evolution algorithms: technical analysis, applications and hybridization perspectives,” in Advances of Computational Intelligence in Industrial Systems, ed: Springer, 2008, pp. 1-38.
[۷۰] M. R. AlRashidi and M. E. El-Hawary, “A survey of particle swarm optimization applications in electric power systems," Evolutionary Computation, IEEE Transactions on, vol. 13, pp. 913-918, 2009.
[۷۱] W.-J. Zhang and X.-F. Xie, “DEPSO: hybrid particle swarm with differential evolution operator,” in Systems, Man and Cybernetics, 2003. IEEE International Conference on, 2003, pp. 3816-3821.
[۷۲] K. Chandramouli and E. Izquierdo, “Image classification using chaotic particle swarm optimization,” in Image Processing, 2006 IEEE International Conference on, 2006, pp. 3001-3004.
[۷۳] H. Gao, et al., “Training RBF neural network with hybrid particle swarm optimization,” in Advances in Neural Networks-ISNN 2006, ed: Springer, 2006, pp. 577-583.
[۷۴] B. Al-kazemi and C. K. Mohan, “Multi-phase generalization of the particle swarm optimization algorithm,” in Evolutionary Computation, 2002. CEC’02. Proceedings of the 2002 Congress on, 2002, pp. 489-494.
