Inertia weight control strategies for particle swarm optimization
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Andries Petrus Engelbrecht | Beatrice M. Ombuki-Berman | Kyle Robert Harrison | A. Engelbrecht | B. Ombuki-Berman
[1] Ponnuthurai N. Suganthan,et al. Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation , 2015, Swarm Evol. Comput..
[2] Andries Petrus Engelbrecht,et al. Particle Swarm Convergence: Standardized Analysis and Topological Influence , 2014, ANTS Conference.
[3] Bo Liu,et al. Improved particle swarm optimization combined with chaos , 2005 .
[4] A. P. Engelbrecht. Roaming Behavior of Unconstrained Particles , 2013, 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.
[5] Junyan Wang,et al. Nonlinear Inertia Weight Variation for Dynamic Adaptation in Particle Swarm Optimization , 2011, ICSI.
[6] 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.
[7] Andries Petrus Engelbrecht,et al. Particle swarm optimization: Velocity initialization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[8] Xinbo Huang,et al. Natural Exponential Inertia Weight Strategy in Particle Swarm Optimization , 2006, 2006 6th World Congress on Intelligent Control and Automation.
[9] Thomas Stützle,et al. An analysis of parameter adaptation in reactive tabu search , 2014, Int. Trans. Oper. Res..
[10] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[11] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[12] Kusum Deep,et al. A new fine grained inertia weight Particle Swarm Optimization , 2011, 2011 World Congress on Information and Communication Technologies.
[13] Reza Safabakhsh,et al. A novel stability-based adaptive inertia weight for particle swarm optimization , 2016, Appl. Soft Comput..
[14] Yong Feng,et al. Chaotic Inertia Weight in Particle Swarm Optimization , 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).
[15] 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).
[16] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[17] Zhi-hui Zhan,et al. Topology selection for particle swarm optimization , 2016, Inf. Sci..
[18] Andries Petrus Engelbrecht,et al. On the optimality of particle swarm parameters in dynamic environments , 2013, 2013 IEEE Congress on Evolutionary Computation.
[19] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[20] Xingsheng Gu,et al. A dynamic inertia weight particle swarm optimization algorithm , 2008 .
[21] Zbigniew Michalewicz,et al. Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review , 2017, Evolutionary Computation.
[22] Ajith Abraham,et al. Inertia Weight strategies in Particle Swarm Optimization , 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.
[23] Yuelin Gao,et al. A Particle Swarm Optimization Algorithm with Logarithm Decreasing Inertia Weight and Chaos Mutation , 2008, 2008 International Conference on Computational Intelligence and Security.
[24] 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).
[25] Andries Petrus Engelbrecht,et al. Particle swarm variants: standardized convergence analysis , 2015, Swarm Intelligence.
[26] Gang Xu,et al. An adaptive parameter tuning of particle swarm optimization algorithm , 2013, Appl. Math. Comput..
[27] 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).
[28] Yuhui Qiu,et al. A new adaptive well-chosen inertia weight strategy to automatically harmonize global and local search ability in particle swarm optimization , 2006, 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics.
[29] Yu Wang,et al. Self-adaptive learning based particle swarm optimization , 2011, Inf. Sci..
[30] D. Broomhead,et al. Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation , 2007, GECCO '07.
[31] Kyriakos Kentzoglanakis,et al. Particle swarm optimization with an oscillating inertia weight , 2009, GECCO.
[32] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[33] Andries Petrus Engelbrecht,et al. A study of particle swarm optimization particle trajectories , 2006, Inf. Sci..
[34] Andries Petrus Engelbrecht,et al. Comparison of self-adaptive particle swarm optimizers , 2014, 2014 IEEE Symposium on Swarm Intelligence.
[35] Narasimhan Sundararajan,et al. Self regulating particle swarm optimization algorithm , 2015, Inf. Sci..
[36] Andries Petrus Engelbrecht,et al. The sad state of self-adaptive particle swarm optimizers , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[37] Michael N. Vrahatis,et al. Tuning PSO Parameters Through Sensitivity Analysis , 2002 .
[38] R. Eberhart,et al. Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[39] Shu-Kai S. Fan,et al. A decreasing inertia weight particle swarm optimizer , 2007 .
[40] Guoqing Li,et al. A Self-Adaptive Improved Particle Swarm Optimization Algorithm and Its Application in Available Transfer Capability Calculation , 2009, 2009 Fifth International Conference on Natural Computation.
[41] Mohammad Mehdi Ebadzadeh,et al. A novel particle swarm optimization algorithm with adaptive inertia weight , 2011, Appl. Soft Comput..
[42] Kusum Deep,et al. Novel inertia weight strategies for particle swarm optimization , 2013, Memetic Comput..
[43] R. Salomon. Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions. A survey of some theoretical and practical aspects of genetic algorithms. , 1996, Bio Systems.
[44] Thomas Stützle,et al. A critical analysis of parameter adaptation in ant colony optimization , 2011, Swarm Intelligence.
[45] Andries Petrus Engelbrecht,et al. A self-adaptive heterogeneous pso for real-parameter optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.
[46] Wei Gao,et al. Low-discrepancy sequence initialized particle swarm optimization algorithm with high-order nonlinear time-varying inertia weight , 2015, Appl. Soft Comput..
[47] Bijaya Ketan Panigrahi,et al. Adaptive particle swarm optimization approach for static and dynamic economic load dispatch , 2008 .
[48] Russell C. Eberhart,et al. Tracking and optimizing dynamic systems with particle swarms , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[49] Andries Petrus Engelbrecht,et al. Analysis and classification of optimisation benchmark functions and benchmark suites , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[50] Guojun Tan,et al. A Self-Adaptive Mutation-Particle Swarm Optimization Algorithm , 2008, 2008 Fourth International Conference on Natural Computation.
[51] Andries Petrus Engelbrecht,et al. Particle swarm convergence: An empirical investigation , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[52] Thomas Stützle,et al. Heterogeneous particle swarm optimizers , 2009, 2009 IEEE Congress on Evolutionary Computation.
[53] Jin-zhu Hu,et al. Research on Particle Swarm Optimization with Dynamic Inertia Weight , 2009, 2009 International Conference on Management and Service Science.
[54] Riccardo Poli,et al. Mean and Variance of the Sampling Distribution of Particle Swarm Optimizers During Stagnation , 2009, IEEE Transactions on Evolutionary Computation.