An adaptive particle swarm optimization algorithm based on optimal parameter regions
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Andries Petrus Engelbrecht | Beatrice M. Ombuki-Berman | Kyle Robert Harrison | A. Engelbrecht | B. Ombuki-Berman
[1] Andries Petrus Engelbrecht,et al. Particle swarm convergence: An empirical investigation , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[2] Thomas Stützle,et al. Heterogeneous particle swarm optimizers , 2009, 2009 IEEE Congress on Evolutionary Computation.
[3] Qunfeng Liu,et al. Order-2 Stability Analysis of Particle Swarm Optimization , 2015, Evolutionary Computation.
[4] Andries Petrus Engelbrecht,et al. Particle swarm optimization: Velocity initialization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[5] Andries Petrus Engelbrecht,et al. The sad state of self-adaptive particle swarm optimizers , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[6] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[7] Andries Petrus Engelbrecht,et al. Self-adaptive particle swarm optimization: a review and analysis of convergence , 2017, Swarm Intelligence.
[8] Andries Petrus Engelbrecht,et al. Comparison of self-adaptive particle swarm optimizers , 2014, 2014 IEEE Symposium on Swarm Intelligence.
[9] Michael N. Vrahatis,et al. Tuning PSO Parameters Through Sensitivity Analysis , 2002 .
[10] M. Clerc. Stagnation Analysis in Particle Swarm Optimisation or What Happens When Nothing Happens , 2006 .
[11] Zbigniew Michalewicz,et al. Stability Analysis of the Particle Swarm Optimization Without Stagnation Assumption , 2016, IEEE Transactions on Evolutionary Computation.
[12] Narasimhan Sundararajan,et al. Self regulating particle swarm optimization algorithm , 2015, Inf. Sci..
[13] M. Clerc,et al. The swarm and the queen: towards a deterministic and adaptive particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[14] Wei Zhang,et al. A parameter selection strategy for particle swarm optimization based on particle positions , 2014, Expert Syst. Appl..
[15] Gang Xu,et al. An adaptive parameter tuning of particle swarm optimization algorithm , 2013, Appl. Math. Comput..
[16] Veysel Gazi,et al. Stochastic stability analysis of the particle dynamics in the PSO algorithm , 2012, 2012 IEEE International Symposium on Intelligent Control.
[17] D. Broomhead,et al. Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation , 2007, GECCO '07.
[18] Zbigniew Michalewicz,et al. Analysis of Stability, Local Convergence, and Transformation Sensitivity of a Variant of the Particle Swarm Optimization Algorithm , 2016, IEEE Transactions on Evolutionary Computation.
[19] Andries Petrus Engelbrecht,et al. Analysis and classification of optimisation benchmark functions and benchmark suites , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[20] Shiyuan Yang,et al. Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm , 2007, Inf. Process. Lett..
[21] Saman K. Halgamuge,et al. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.
[22] Andries Petrus Engelbrecht,et al. A generalized theoretical deterministic particle swarm model , 2014, Swarm Intelligence.
[23] James Kennedy,et al. Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.
[24] Riccardo Poli,et al. Mean and Variance of the Sampling Distribution of Particle Swarm Optimizers During Stagnation , 2009, IEEE Transactions on Evolutionary Computation.
[25] Zbigniew Michalewicz,et al. Impacts of Coefficients on Movement Patterns in the Particle Swarm Optimization Algorithm , 2017, IEEE Transactions on Evolutionary Computation.
[26] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[27] M. Jiang,et al. Particle Swarm Optimization - Stochastic Trajectory Analysis and Parameter Selection , 2007 .
[28] J. Kennedy,et al. Population structure and particle swarm performance , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[29] Francisco Herrera,et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..
[30] Andries Petrus Engelbrecht,et al. Optimal parameter regions for particle swarm optimization algorithms , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[31] Changhe Li,et al. A Self-Learning Particle Swarm Optimizer for Global Optimization Problems , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[32] Jun Zhang,et al. Adaptive Particle Swarm Optimization , 2008, ANTS Conference.
[33] Andries Petrus Engelbrecht,et al. On the optimality of particle swarm parameters in dynamic environments , 2013, 2013 IEEE Congress on Evolutionary Computation.
[34] M. Friedman. A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .
[35] Andries Petrus Engelbrecht,et al. Inertia weight control strategies for particle swarm optimization , 2016, Swarm Intelligence.
[36] A. P. Engelbrecht,et al. Particle Swarm Optimization: Global Best or Local Best? , 2013, 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.
[37] J. Shaffer. Modified Sequentially Rejective Multiple Test Procedures , 1986 .
[38] R. Eberhart,et al. Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[39] Yu Wang,et al. Self-adaptive learning based particle swarm optimization , 2011, Inf. Sci..
[40] Andries Petrus Engelbrecht,et al. A study of particle swarm optimization particle trajectories , 2006, Inf. Sci..
[41] Frans van den Bergh,et al. An analysis of particle swarm optimizers , 2002 .
[42] Andries Petrus Engelbrecht,et al. Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm , 2018, Swarm Evol. Comput..
[43] Andries Petrus Engelbrecht,et al. A self-adaptive heterogeneous pso for real-parameter optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.
[44] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[45] Visakan Kadirkamanathan,et al. Stability analysis of the particle dynamics in particle swarm optimizer , 2006, IEEE Transactions on Evolutionary Computation.
[46] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..