Probability-optimal leader comprehensive learning particle swarm optimization with Bayesian iteration

[1]  Yonggang Chen,et al.  Dynamic multi-swarm differential learning particle swarm optimizer , 2017, Swarm Evol. Comput..

[2]  Shinn-Ying Ho,et al.  OPSO: Orthogonal Particle Swarm Optimization and Its Application to Task Assignment Problems , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[3]  Jing J. Liang,et al.  Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.

[4]  Francisco Herrera,et al.  A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.

[5]  Li Sun,et al.  Multi-objective optimization operation of the green energy island based on Hammersley sequence sampling , 2020 .

[6]  Wei Sun,et al.  Global genetic learning particle swarm optimization with diversity enhancement by ring topology , 2019, Swarm Evol. Comput..

[7]  Xing Zhang,et al.  Economic design based on a multivariate Bayesian VSI chart with a dual control limit , 2017 .

[8]  Saman K. Halgamuge,et al.  Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.

[9]  Bo Liu,et al.  Improved particle swarm optimization combined with chaos , 2005 .

[10]  Nor Ashidi Mat Isa,et al.  Adaptive division of labor particle swarm optimization , 2015, Expert Syst. Appl..

[11]  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).

[12]  M. Pesaran,et al.  A Bayesian Analysis of Linear Regression Models with Highly Collinear Regressors , 2018, Econometrics and Statistics.

[13]  Jacek M. Zurada,et al.  An approach to multimodal biomedical image registration utilizing particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[14]  John Doherty,et al.  Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems , 2017, IEEE Transactions on Cybernetics.

[15]  Mahdi Pourakbari-Kasmaei,et al.  Transmission expansion planning integrated with wind farms: A review, comparative study, and a novel profound search approach , 2020 .

[16]  Ponnuthurai N. Suganthan,et al.  Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation , 2015, Swarm Evol. Comput..

[17]  Ruey-Shun Chen,et al.  Non-inertial opposition-based particle swarm optimization and its theoretical analysis for deep learning applications , 2020, Appl. Soft Comput..

[18]  Akira Yamaguchi,et al.  A novel method for risk-informed decision-making under non-ideal Instrumentation and Control conditions through the application of Bayes' Theorem , 2019, Reliab. Eng. Syst. Saf..

[19]  Narasimhan Sundararajan,et al.  Self regulating particle swarm optimization algorithm , 2015, Inf. Sci..

[20]  Mohammad Reza Meybodi,et al.  A note on the learning automata based algorithms for adaptive parameter selection in PSO , 2011, Appl. Soft Comput..

[21]  Jun Zhang,et al.  Genetic Learning Particle Swarm Optimization , 2016, IEEE Transactions on Cybernetics.

[22]  Andrea Serani,et al.  Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems , 2016, Appl. Soft Comput..

[23]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.

[24]  José Neves,et al.  The fully informed particle swarm: simpler, maybe better , 2004, IEEE Transactions on Evolutionary Computation.

[25]  Narasimhan Sundararajan,et al.  Directionally Driven Self-Regulating Particle Swarm Optimization algorithm , 2016, Swarm Evol. Comput..

[26]  Wei Sun,et al.  Adaptive comprehensive learning particle swarm optimization with cooperative archive , 2019, Appl. Soft Comput..

[27]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[28]  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..

[29]  Xinsheng Liu,et al.  Structure learning of Bayesian networks by continuous particle swarm optimization algorithms , 2018 .

[30]  P. N. Suganthan,et al.  Ensemble particle swarm optimizer , 2017, Appl. Soft Comput..

[31]  Giancarlo Mauri,et al.  Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization , 2017, Swarm Evol. Comput..

[32]  Narasimhan Sundararajan,et al.  Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems , 2016, Inf. Sci..

[33]  Siba K. Udgata,et al.  Integrated Learning Particle Swarm Optimizer for global optimization , 2011, Appl. Soft Comput..