Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
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Ponnuthurai N. Suganthan | Essam H. Houssein | Kashif Hussain | Ahmed G. Gad | P. Suganthan | E. H. Houssein | Kashif Hussain
[1] Bin Li,et al. Multi-strategy ensemble particle swarm optimization for dynamic optimization , 2008, Inf. Sci..
[2] Régis Duvigneau,et al. Low cost PSO using metamodels and inexact pre-evaluation: Application to aerodynamic shape design , 2009 .
[3] Ponnuthurai N. Suganthan,et al. Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation , 2015, Swarm Evol. Comput..
[4] R. T. Goswami,et al. A feature selection technique based on rough set and improvised PSO algorithm (PSORS-FS) for permission based detection of Android malwares , 2018, Int. J. Mach. Learn. Cybern..
[5] Russell C. Eberhart,et al. Adaptive particle swarm optimization: detection and response to dynamic systems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[6] Shilpa Suresh,et al. Multilevel thresholding based on Chaotic Darwinian Particle Swarm Optimization for segmentation of satellite images , 2017, Appl. Soft Comput..
[7] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[8] Christopher Wesley Cleghorn,et al. Movement patterns of a particle swarm in high dimensional spaces , 2020, Inf. Sci..
[9] Mehmet Ali Çavuslu,et al. FPGA implementation of neuro-fuzzy system with improved PSO learning , 2016, Neural Networks.
[10] Eugene Semenkin,et al. Soft Island Model for Population-Based Optimization Algorithms , 2018, ICSI.
[11] C. L. Philip Chen,et al. Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale Optimization , 2017, IEEE Transactions on Cybernetics.
[12] Bożena Borowska,et al. Nonlinear inertia weight in particle swarm optimization , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).
[13] E. Ozcan,et al. Particle swarm optimization: surfing the waves , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[14] Noor Azizah Sidek,et al. Swarm size and iteration number effects to the performance of PSO algorithm in RFID tag coverage optimization , 2017 .
[15] Halife Kodaz,et al. A novel parallel multi-swarm algorithm based on comprehensive learning particle swarm optimization , 2015, Eng. Appl. Artif. Intell..
[16] Amitava Chatterjee,et al. Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization , 2006, Comput. Oper. Res..
[17] Mohammad Reza Meybodi,et al. Cellular learning automata based bare bones PSO with maximum likelihood rotated mutations , 2019, Swarm Evol. Comput..
[18] Thomas Kiel Rasmussen,et al. Hybrid Particle Swarm Optimiser with breeding and subpopulations , 2001 .
[19] Anna Sergeevna Bosman,et al. Characterising neutrality in neural network error landscapes , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[20] Ahmed Faheem Zobaa,et al. Integrated Mutation Strategy With Modified Binary PSO Algorithm for Optimal PMUs Placement , 2017, IEEE Transactions on Industrial Informatics.
[21] 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).
[22] Jeff Orchard,et al. Particle swarm optimization using dynamic tournament topology , 2016, Appl. Soft Comput..
[23] Lei Liu,et al. Particle swarm optimization algorithm: an overview , 2017, Soft Computing.
[24] Chao Li,et al. Optimization of a heliostat field layout using hybrid PSO-GA algorithm , 2018 .
[25] Yunping Chen,et al. A Hybrid Evolutionary Algorithm by Combination of PSO and GA for Unconstrained and Constrained Optimization Problems , 2007, 2007 IEEE International Conference on Control and Automation.
[26] J. Kennedy,et al. Population structure and particle swarm performance , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[27] Ali Mohades,et al. Multi-Robot Path Planning Based on Multi-Objective Particle Swarm Optimization , 2019, IEEE Access.
[28] Rehab F. Abdel-Kader. Genetically Improved PSO Algorithm for Efficient Data Clustering , 2010, 2010 Second International Conference on Machine Learning and Computing.
[29] Bin Ran,et al. Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm , 2019, Knowl. Based Syst..
[30] Xiaohui Hu,et al. Engineering optimization with particle swarm , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[31] Ammar Hawbani,et al. DENPSO: A Distance Evolution Nonlinear PSO Algorithm for Energy-Efficient Path Planning in 3D UASNs , 2019, IEEE Access.
[32] P. J. Angeline,et al. Using selection to improve particle swarm optimization , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[33] J. Anuradha,et al. A Survey on Particle Swarm Optimization in Feature Selection , 2011 .
[34] Kajla Basu,et al. A novel particle swarm optimization with fuzzy adaptive inertia weight for reliability redundancy allocation problems , 2019, Intell. Decis. Technol..
[35] Xueqiang Li,et al. Automated test data generation based on particle swarm optimisation with convergence speed controller , 2017, CAAI Trans. Intell. Technol..
[36] Kangshun Li,et al. Performance Analyses of Differential Evolution Algorithm Based on Dynamic Fitness Landscape , 2019, Int. J. Cogn. Informatics Nat. Intell..
[37] James Kennedy,et al. Bare bones particle swarms , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[38] Wenguang Luo,et al. Convergence Analysis of Particle Swarm Optimizer and Its Improved Algorithm Based on Velocity Differential Evolution , 2013, Comput. Intell. Neurosci..
[39] Zidong Wang,et al. A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease , 2018, Neurocomputing.
[40] Michael N. Vrahatis,et al. On the computation of all global minimizers through particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[41] Feng-ju Kang,et al. Adaptive mutation particle swarm algorithm with dynamic nonlinear changed inertia weight , 2016 .
[42] M. Eshaghi Gordji,et al. Optimal Reservoir Operation Using Bat and Particle Swarm Algorithm and Game Theory Based on Optimal Water Allocation among Consumers , 2019, Water Resources Management.
[43] Sandeep Kumar,et al. Self balanced particle swarm optimization , 2018, Int. J. Syst. Assur. Eng. Manag..
[44] Mohammad Mehdi Ebadzadeh,et al. Evaluating the performance of DNPSO in dynamic environments , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.
[45] Giancarlo Mauri,et al. Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization , 2017, Swarm Evol. Comput..
[46] Cong Wang,et al. A novel hybrid clustering based on adaptive ACO and PSO , 2011, 2011 International Conference on Computer Science and Service System (CSSS).
[47] Rahul Katarya,et al. Efficient music recommender system using context graph and particle swarm , 2017, Multimedia Tools and Applications.
[48] Frans van den Bergh,et al. Particle Swarm Weight Initialization In Multi-Layer Perceptron Artificial Neural Networks , 1999 .
[49] H. N. Suresh,et al. Hybrid BAT-PSO optimization techniques for image registration , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).
[50] Bassem Jarboui,et al. A combinatorial particle swarm optimization for solving multi-mode resource-constrained project scheduling problems , 2008, Appl. Math. Comput..
[51] Xi Fei,et al. A simulation analysis method based on PSO-RBF model and its application , 2018, Cluster Computing.
[52] S. Arunachalam,et al. Hybrid Particle Swarm Optimization Algorithm and Firefly Algorithm Based Combined Economic and Emission Dispatch Including Valve Point Effect , 2014, SEMCCO.
[53] Chu-Sing Yang,et al. A memetic particle swarm optimization algorithm for solving the DNA fragment assembly problem , 2014, Neural Computing and Applications.
[54] Marco S. Nobile,et al. The impact of particles initialization in PSO: Parameter estimation as a case in point , 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).
[55] Xin Liu,et al. Distributed Parallel Particle Swarm Optimization for Multi-Objective and Many-Objective Large-Scale Optimization , 2017, IEEE Access.
[56] Antonio Cezar de Castro Lima,et al. Algorithm based on particle swarm applied to electrical load scheduling in an industrial setting , 2018 .
[57] Rui Mendes,et al. Neighborhood topologies in fully informed and best-of-neighborhood particle swarms , 2006 .
[58] Vivek Agarwal,et al. Global maximum power point tracking of PV arrays under partial shading conditions using a modified particle velocity-based PSO technique , 2017 .
[59] Adam P. Piotrowski,et al. Population size in Particle Swarm Optimization , 2020, Swarm Evol. Comput..
[60] Jun Zhang,et al. Adaptive Particle Swarm Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[61] Albert A. Groenwold,et al. A Study of Global Optimization Using Particle Swarms , 2005, J. Glob. Optim..
[62] R. W. Dobbins,et al. Computational intelligence PC tools , 1996 .
[63] D. Broomhead,et al. Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation , 2007, GECCO '07.
[64] John Doherty,et al. Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems , 2017, IEEE Transactions on Cybernetics.
[65] Shang He,et al. An improved particle swarm optimizer for mechanical design optimization problems , 2004 .
[66] John Yannis Goulermas,et al. A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[67] Hiroyuki Mori,et al. Development of DEPSO Island Model with Particle Speed Limit for Distribution Network Reconfigurations , 2018 .
[68] Liang Huang,et al. Niching particle swarm optimization techniques for multimodal buckling maximization of composite laminates , 2017, Appl. Soft Comput..
[69] Saroj Kumar Dash,et al. Comparative Optimization Analysis of Ramp Rate Constriction Factor Based PSO and Electro Magnetism Based PSO for Economic Load Dispatch in Electric Power System , 2019, 2019 International Conference on Applied Machine Learning (ICAML).
[70] Mohammad Naim Rastgoo,et al. Balancing exploration and exploitation in particle swarm optimization on search tasking , 2014 .
[71] Wenbo Xu,et al. Particle swarm optimization with particles having quantum behavior , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[72] Hitoshi Iba,et al. Particle swarm optimization with Gaussian mutation , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[73] Xiao-Feng Xie,et al. DEPSO: hybrid particle swarm with differential evolution operator , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).
[74] Michal Pluhacek,et al. Study On Velocity Clamping In PSO Using CEC'13 Benchmark , 2018, ECMS.
[75] Yang Li,et al. RoughPSO: rough set-based particle swarm optimisation , 2018, Int. J. Bio Inspired Comput..
[76] Yudong Zhang,et al. A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications , 2015 .
[77] Jianfei Shen,et al. Design process optimization and profit calculation module development simulation analysis of financial accounting information system based on particle swarm optimization (PSO) , 2020, Inf. Syst. E Bus. Manag..
[78] Narasimhan Sundararajan,et al. Self regulating particle swarm optimization algorithm , 2015, Inf. Sci..
[79] Li Tao,et al. Attack localization task allocation in wireless sensor networks based on multi-objective binary particle swarm optimization , 2018, J. Netw. Comput. Appl..
[80] Weiyi Chen,et al. Quantum Particle Swarm With Teamwork Evolutionary Strategy for Multi-Objective Optimization on Electro-Optical Platform , 2019, IEEE Access.
[81] Jing J. Liang,et al. Dynamic multi-swarm particle swarm optimizer , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[82] R. Sivaranjani,et al. Speckle noise removal in SAR images using Multi-Objective PSO (MOPSO) algorithm , 2019, Appl. Soft Comput..
[83] Hayet Djellali,et al. Improved Chaotic Initialization of Particle Swarm applied to Feature Selection , 2019, 2019 International Conference on Networking and Advanced Systems (ICNAS).
[84] Ponnuthurai Nagaratnam Suganthan,et al. Two-lbests based multi-objective particle swarm optimizer , 2011 .
[85] C.A. Coello Coello,et al. MOPSO: a proposal for multiple objective particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[86] Mesut Gündüz,et al. A recombination-based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems , 2013, Appl. Soft Comput..
[87] Wenxing Ye,et al. A novel multi-swarm particle swarm optimization with dynamic learning strategy , 2017, Appl. Soft Comput..
[88] Xiaodong Li,et al. Cooperatively Coevolving Particle Swarms for Large Scale Optimization , 2012, IEEE Transactions on Evolutionary Computation.
[89] Maoguo Gong,et al. Influence maximization in social networks based on discrete particle swarm optimization , 2016, Inf. Sci..
[90] Vamsidhar Enireddy,et al. Improved cuckoo search with particle swarm optimization for classification of compressed images , 2015 .
[91] A P Engelbrecht,et al. The influence of fitness landscape characteristics on particle swarm optimisers , 2021 .
[92] P. N. Suganthan,et al. Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.
[93] Ahmed Chiheb Ammari,et al. An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem , 2015, Journal of Intelligent Manufacturing.
[94] P. N. Suganthan,et al. Ensemble particle swarm optimizer , 2017, Appl. Soft Comput..
[95] B J Fregly,et al. Parallel global optimization with the particle swarm algorithm , 2004, International journal for numerical methods in engineering.
[96] Thomas Stützle,et al. Heterogeneous particle swarm optimizers , 2009, 2009 IEEE Congress on Evolutionary Computation.
[97] MengChu Zhou,et al. Recent advances in particle swarm optimization via population structuring and individual behavior control , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).
[98] Sandeep Raj,et al. ECG Signal Analysis Using DCT-Based DOST and PSO Optimized SVM , 2017, IEEE Transactions on Instrumentation and Measurement.
[99] Fatos Xhafa,et al. Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation , 2016, 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA).
[100] Abdul Hameed,et al. Opposition-based initialization and a modified pattern for Inertia Weight (IW) in PSO , 2017, 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA).
[101] Ganesh K. Venayagamoorthy,et al. Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[102] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[103] Chukwudi Anyakoha,et al. A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications , 2008, Natural Computing.
[104] Saman Aminbakhsh,et al. Discrete particle swarm optimization method for the large-scale discrete time-cost trade-off problem , 2016, Expert Syst. Appl..
[105] Yu Li,et al. Particle swarm optimisation for evolving artificial neural network , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.
[106] Yuval Davidor,et al. A Naturally Occurring Niche and Species Phenomenon: The Model and First Results , 1991, ICGA.
[107] Ala I. Al-Fuqaha,et al. Distributed topology control in large-scale hybrid RF/FSO networks: SIMT GPU-based particle swarm optimization approach , 2013, Int. J. Commun. Syst..
[108] Gillian Dobbie,et al. Research on particle swarm optimization based clustering: A systematic review of literature and techniques , 2014, Swarm Evol. Comput..
[109] Xin-She Yang,et al. Influence of Initialization on the Performance of Metaheuristic Optimizers , 2020, Appl. Soft Comput..
[110] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[111] Yaser Maher Wazery,et al. Jaya Algorithm and Applications: A Comprehensive Review , 2020 .
[112] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[113] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems , 2006, Int. J. Intell. Syst..
[114] K.V. Deligkaris,et al. Thinned Planar Array Design Using Boolean PSO With Velocity Mutation , 2009, IEEE Transactions on Magnetics.
[115] Mahamad Nabab Alam,et al. A novel differential particle swarm optimization for parameter selection of support vector machines for monitoring metal-oxide surge arrester conditions , 2018, Swarm Evol. Comput..
[116] Ponnuthurai Nagaratnam Suganthan,et al. Static and dynamic photovoltaic models’ parameters identification using Chaotic Heterogeneous Comprehensive Learning Particle Swarm Optimizer variants , 2019, Energy Conversion and Management.
[117] Siyuan Chen,et al. GIS-Based Multi-Objective Particle Swarm Optimization of charging stations for electric vehicles , 2019, Energy.
[118] Zaher Mundher Yaseen,et al. Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm , 2018, Water.
[119] Andries Petrus Engelbrecht,et al. A Convergence Proof for the Particle Swarm Optimiser , 2010, Fundam. Informaticae.
[120] Erhan Akin,et al. Rough particle swarm optimization and its applications in data mining , 2008, Soft Comput..
[121] Francisco Martínez-Álvarez,et al. A novel hybrid GA–PSO framework for mining quantitative association rules , 2020, Soft Comput..
[122] Xiao-Feng Xie,et al. Adaptive particle swarm optimization on individual level , 2002, 6th International Conference on Signal Processing, 2002..
[123] Vadlamani Ravi,et al. Forecasting financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network , 2017, Appl. Soft Comput..
[124] Optimization on Rugged Landscapes , 2018 .
[125] A. Engelbrecht,et al. A new locally convergent particle swarm optimiser , 2002, IEEE International Conference on Systems, Man and Cybernetics.
[126] Michael N. Vrahatis,et al. Modification of the Particle Swarm Optimizer for Locating All the Global Minima , 2001 .
[127] Taher Niknam,et al. Dynamic optimal power flow using hybrid particle swarm optimization and simulated annealing , 2013 .
[128] Enrique Alba,et al. Metaheuristics and Parallelism , 2005 .
[129] Yun-Xia Liu,et al. Hybrid non-parametric particle swarm optimization and its stability analysis , 2018, Expert Syst. Appl..
[130] Guangyou Yang,et al. A New Hybrid Algorithm of Particle Swarm Optimization , 2006, ICIC.
[131] M. Nazari,et al. A new hybrid particle swarm and simulated annealing stochastic optimization method , 2017, Appl. Soft Comput..
[132] Mengxuan Song,et al. Three-dimensional wind turbine positioning using Gaussian particle swarm optimization with differential evolution , 2018 .
[133] Han Huang,et al. A Particle Swarm Optimization Algorithm with Differential Evolution , 2007, 2007 International Conference on Machine Learning and Cybernetics.
[134] Yu Xue,et al. Partitioned-cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation , 2017, Appl. Soft Comput..
[135] Christopher Wesley Cleghorn,et al. Particle Swarm Optimization: Understanding Order-2 Stability Guarantees , 2019, EvoApplications.
[136] Michael G. Epitropakis,et al. Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution , 2010, IEEE Congress on Evolutionary Computation.
[137] A. Rezaee Jordehi,et al. Binary particle swarm optimisation with quadratic transfer function: A new binary optimisation algorithm for optimal scheduling of appliances in smart homes , 2019, Appl. Soft Comput..
[138] Pedro Antonio Gutiérrez,et al. A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation , 2019, Neurocomputing.
[139] Andries Petrus Engelbrecht,et al. Using neighbourhoods with the guaranteed convergence PSO , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[140] Alex S. Fukunaga,et al. Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[141] R. Brits,et al. Solving systems of unconstrained equations using particle swarm optimization , 2002, IEEE International Conference on Systems, Man and Cybernetics.
[142] Jérôme Jouffroy,et al. On the premature convergence of particle swarm optimization , 2016, 2016 European Control Conference (ECC).
[143] Alibakhsh Kasaeian,et al. Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability , 2017, Energy.
[144] K. Premalatha,et al. Discrete PSO with GA Operators for Document Clustering , 2009 .
[145] Mohamed Elhoseny,et al. Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm , 2019, Cluster Computing.
[146] Jianqiao Chen,et al. A surrogate-based particle swarm optimization algorithm for solving optimization problems with expensive black box functions , 2013 .
[147] Andries Petrus Engelbrecht,et al. Self-adaptive particle swarm optimization: a review and analysis of convergence , 2017, Swarm Intelligence.
[148] Siliang Wu,et al. Application of parallel PSO algorithm to motion parameter estimation , 2008, 2008 9th International Conference on Signal Processing.
[149] Sakshi Arora,et al. Particle Swarm Optimization Based Support Vector Machine (P-SVM) for the Segmentation and Classification of Plants , 2019, IEEE Access.
[150] James P. Cohoon,et al. C6.3 Island (migration) models: evolutionary algorithms based on punctuated equilibria , 1997 .
[151] Arun Kumar Sangaiah,et al. Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization , 2017, Journal of Medical Systems.
[152] M. Rao,et al. On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems , 2006 .
[153] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[154] Yi Liu,et al. The Container Truck Route Optimization Problem by the Hybrid PSO-ACO Algorithm , 2017, ICIC.
[155] Xin-She Yang,et al. Bio-inspired computation: Where we stand and what's next , 2019, Swarm Evol. Comput..
[156] Kalyana Chakravarthy Veluvolu,et al. Particle Swarm Optimization with Ensemble of Inertia Weight Strategies , 2017, ICSI.
[157] Patrick Siarry,et al. Particle swarm and ant colony algorithms hybridized for improved continuous optimization , 2007, Appl. Math. Comput..
[158] Terry Jones,et al. Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms , 1995, ICGA.
[159] Ying Tan,et al. Surrogate-assisted hierarchical particle swarm optimization , 2018, Inf. Sci..
[160] Jürgen Teich,et al. Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[161] Najme Mansouri,et al. Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory , 2019, Comput. Ind. Eng..
[162] Shiyuan Yang,et al. Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm , 2007, Inf. Process. Lett..
[163] Mohamed S. Gadala,et al. Sensitivity analysis of control parameters in particle swarm optimization , 2020, J. Comput. Sci..
[164] Jing J. Liang,et al. Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[165] James Kennedy,et al. Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.
[166] Saman K. Halgamuge,et al. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.
[167] Thomas Bartz-Beielstein,et al. Open Issues in Surrogate-Assisted Optimization , 2020, High-Performance Simulation-Based Optimization.
[168] Li Zhang,et al. Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization , 2017, Appl. Soft Comput..
[169] Mengjie Zhang,et al. A PSO based hybrid feature selection algorithm for high-dimensional classification , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[170] Sadok Bouamama,et al. A new multiple robot path planning algorithm: dynamic distributed particle swarm optimization , 2017, Robotics and biomimetics.
[171] 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).
[172] Andries Petrus Engelbrecht,et al. Particle swarm optimization: Velocity initialization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[173] Lohithaksha M. Maiyar,et al. Environmentally conscious logistics planning for food grain industry considering wastages employing multi objective hybrid particle swarm optimization , 2019, Transportation Research Part E: Logistics and Transportation Review.
[174] Chukwudi Anyakoha,et al. A review of particle swarm optimization. Part I: background and development , 2007, Natural Computing.
[175] Jing J. Liang,et al. Novel composition test functions for numerical global optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[176] Gang Xu,et al. Premature convergence of standard particle swarm optimisation algorithm based on Markov chain analysis , 2015, Int. J. Wirel. Mob. Comput..
[177] Subir Kumar Sarkar,et al. A Hybrid Rough Set--Particle Swarm Algorithm for Image Pixel Classification , 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).
[178] Hao Wang,et al. Remote sensing of water quality based on HJ-1A HSI imagery with modified discrete binary particle swarm optimization-partial least squares (MDBPSO-PLS) in inland waters: A case in Weishan Lake , 2018, Ecol. Informatics.
[179] Russell C. Eberhart,et al. Solving Constrained Nonlinear Optimization Problems with Particle Swarm Optimization , 2002 .
[180] Seyedali Mirjalili,et al. Henry gas solubility optimization: A novel physics-based algorithm , 2019, Future Gener. Comput. Syst..
[181] Ponnuthurai N. Suganthan,et al. Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization , 2011, Inf. Sci..
[182] Reza Safabakhsh,et al. A novel stability-based adaptive inertia weight for particle swarm optimization , 2016, Appl. Soft Comput..
[183] Mainak Adhikari,et al. Multi-objective accelerated particle swarm optimization with a container-based scheduling for Internet-of-Things in cloud environment , 2019, J. Netw. Comput. Appl..
[184] Junfeng Wu,et al. Optimal path planning for two-wheeled self-balancing vehicle pendulum robot based on quantum-behaved particle swarm optimization algorithm , 2019, Personal and Ubiquitous Computing.
[185] Rajkishore Swain,et al. Optimal design of linear phase multi-band stop filters using improved cuckoo search particle swarm optimization , 2017, Appl. Soft Comput..
[186] Jun Zhang,et al. Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems , 2015, Inf. Sci..
[187] Fariba Bahrami,et al. Boolean Particle Swarm Optimization and Its Application to the Design of a Dual-Band Dual-Polarized Planar Antenna , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[188] Jianchao Zeng,et al. Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems , 2017, IEEE Transactions on Evolutionary Computation.
[189] Weichung Wang,et al. Accelerating parallel particle swarm optimization via GPU , 2012, Optim. Methods Softw..
[190] George Tambouratzis. Modifying the velocity in adaptive PSO to improve optimisation performance , 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).
[191] Prachi Chauhan,et al. Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm , 2020 .
[192] Ponnuthurai N. Suganthan,et al. A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization , 2013, IEEE Transactions on Evolutionary Computation.
[193] S. Gunasundari,et al. Velocity Bounded Boolean Particle Swarm Optimization for improved feature selection in liver and kidney disease diagnosis , 2016, Expert Syst. Appl..
[194] Zhi-hui Zhan,et al. A multi-swarm particle swarm optimization algorithm based on dynamical topology and purposeful detecting , 2018, Appl. Soft Comput..
[195] Gang Ma,et al. A novel particle swarm optimization algorithm based on particle migration , 2012, Appl. Math. Comput..
[196] 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).
[197] Russell C. Eberhart,et al. Human tremor analysis using particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[198] Xin Yao,et al. Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization , 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.
[199] Harish Garg,et al. A hybrid PSO-GA algorithm for constrained optimization problems , 2016, Appl. Math. Comput..
[200] Sachin Kumar,et al. A novel hybrid model based on particle swarm optimisation and extreme learning machine for short-term temperature prediction using ambient sensors , 2019, Sustainable Cities and Society.
[201] Mahmoud Hassaballah,et al. Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems , 2020, Eng. Appl. Artif. Intell..
[202] Gang Li,et al. Optimal electric business centre location by centre–decentre quantum particle swarm optimization , 2019 .
[203] Zbigniew Michalewicz,et al. Impacts of Coefficients on Movement Patterns in the Particle Swarm Optimization Algorithm , 2017, IEEE Transactions on Evolutionary Computation.
[204] Ajith Abraham,et al. Inertia Weight strategies in Particle Swarm Optimization , 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.
[205] Ying Xing,et al. A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm , 2017, J. Comput. Sci..
[206] Rolf Wanka,et al. Theoretical Analysis of Initial Particle Swarm Behavior , 2008, PPSN.
[207] Huanhuan Chen,et al. A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population , 2016, Inf. Sci..
[208] Bogdan Kwolek,et al. GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization , 2010, ICCVG.
[209] Achille Messac,et al. Avoiding premature convergence in a mixed-discrete particle swarm optimization (MDPSO) algorithm , 2012 .
[210] P. Rangarajan,et al. Novel effective X-path particle swarm optimization based deprived video data retrieval for smart city , 2017, Cluster Computing.
[211] Jia-Jun Wang,et al. Saturated control design of a quadrotor with heterogeneous comprehensive learning particle swarm optimization , 2019, Swarm Evol. Comput..
[212] Vinod Kumar Jain,et al. Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification , 2018, Appl. Soft Comput..
[213] P. Suganthan. Particle swarm optimiser with neighbourhood operator , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[214] Bernd Freisleben,et al. Fitness landscape analysis and memetic algorithms for the quadratic assignment problem , 2000, IEEE Trans. Evol. Comput..
[215] 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.
[216] R. Eberhart,et al. Fuzzy adaptive particle swarm optimization , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[217] M. Batouche,et al. Hybrid particle swarm with differential evolution for multimodal image registration , 2004, 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..
[218] Abbas Khosravi,et al. Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[219] Yongliang Chen,et al. Niching particle swarm optimization with equilibrium factor for multi-modal optimization , 2019, Inf. Sci..
[220] Indresh Kumar Gupta,et al. Particle swarm optimization with selective multiple inertia weights , 2017, 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT).
[221] Daniel A. Levinthal. Adaptation on rugged landscapes , 1997 .
[222] Zakariya Yahya Algamal,et al. A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics , 2019, Chemometrics and Intelligent Laboratory Systems.
[223] Kalyan Veeramachaneni,et al. Fitness-distance-ratio based particle swarm optimization , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[224] Andy Fourie,et al. Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill , 2018 .
[225] James Kennedy,et al. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[226] Amin Shahsavar,et al. Prediction of energetic performance of a building integrated photovoltaic/thermal system thorough artificial neural network and hybrid particle swarm optimization models , 2019, Energy Conversion and Management.
[227] Russell C. Eberhart,et al. Multiobjective optimization using dynamic neighborhood particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[228] Andrea Serani,et al. Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems , 2016, Appl. Soft Comput..
[229] Sriyankar Acharyya,et al. Repository and Mutation based Particle Swarm Optimization (RMPSO): A new PSO variant applied to reconstruction of Gene Regulatory Network , 2019, Appl. Soft Comput..
[230] Shie-Jue Lee,et al. Power consumption minimization by distributive particle swarm optimization for luminance control and its parallel implementations , 2018, Expert Syst. Appl..
[231] Vladimiro Miranda,et al. EPSO - best-of-two-worlds meta-heuristic applied to power system problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[232] Chia-Feng Juang,et al. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[233] 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).
[234] Yoshikazu Fukuyama,et al. Total Optimization of Energy Networks in a Smart City by Multi-Swarm Differential Evolutionary Particle Swarm Optimization , 2019, IEEE Transactions on Sustainable Energy.
[235] Harish Sharma,et al. A Survey on Parallel Particle Swarm Optimization Algorithms , 2019, Arabian Journal for Science and Engineering.
[236] A. M. Ranjbar,et al. A global Particle Swarm-Based-Simulated Annealing Optimization technique for under-voltage load shedding problem , 2009, Appl. Soft Comput..
[237] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[238] W. Martin,et al. Population Structures C 6 . 3 Island ( migration ) models : evolutionary algorithms based on punctuated equilibria , 1997 .
[239] Y. Rahmat-Samii,et al. Reconfigurable array design using parallel particle swarm optimization , 2003, IEEE Antennas and Propagation Society International Symposium. Digest. Held in conjunction with: USNC/CNC/URSI North American Radio Sci. Meeting (Cat. No.03CH37450).
[240] Nima Jafari Navimipour,et al. Service allocation in the cloud environments using multi-objective particle swarm optimization algorithm based on crowding distance , 2017, Swarm Evol. Comput..
[241] Mohanad Albughdadi,et al. Density-based particle swarm optimization algorithm for data clustering , 2018, Expert Syst. Appl..
[242] Xingang Wang,et al. The Study of K-Means Based on Hybrid SA-PSO Algorithm , 2016, 2016 9th International Symposium on Computational Intelligence and Design (ISCID).
[243] Zhi-hui Zhan,et al. Topology selection for particle swarm optimization , 2016, Inf. Sci..
[244] Yaochu Jin,et al. A competitive mechanism based multi-objective particle swarm optimizer with fast convergence , 2018, Inf. Sci..
[245] Ponnuthurai N. Suganthan,et al. Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends , 2021, Swarm Evol. Comput..
[246] Andries Petrus Engelbrecht,et al. A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[247] Frans van den Bergh,et al. A NICHING PARTICLE SWARM OPTIMIZER , 2002 .
[248] Huan Wang,et al. A quantum particle swarm optimization driven urban traffic light scheduling model , 2018, Neural Computing and Applications.
[249] Mohammed Hassan,et al. Artificial Neural Networks and Particle Swarm Optimization Algorithms for Preference Prediction in Multi-Criteria Recommender Systems , 2018, Informatics.
[250] Jun Zhang,et al. A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems , 2010, IEEE Transactions on Evolutionary Computation.
[251] K. Parsopoulos,et al. Stretching technique for obtaining global minimizers through Particle Swarm Optimization , 2001 .
[252] L. Darrell Whitley,et al. The dispersion metric and the CMA evolution strategy , 2006, GECCO.
[253] Mohamed S. Gadala,et al. Self-adapting control parameters in particle swarm optimization , 2019, Appl. Soft Comput..
[254] Kai Ma,et al. Appliances scheduling via cooperative multi-swarm PSO under day-ahead prices and photovoltaic generation , 2018, Appl. Soft Comput..
[255] Mojtaba Ahmadieh Khanesar,et al. An aerial robot for rice farm quality inspection with type-2 fuzzy neural networks tuned by particle swarm optimization-sliding mode control hybrid algorithm , 2017, Swarm Evol. Comput..
[256] Y. Rahmat-Samii,et al. Particle swarm, genetic algorithm, and their hybrids: optimization of a profiled corrugated horn antenna , 2002, IEEE Antennas and Propagation Society International Symposium (IEEE Cat. No.02CH37313).
[257] James F. Frenzel,et al. Training product unit neural networks with genetic algorithms , 1993, IEEE Expert.
[258] Ying Lin,et al. Particle Swarm Optimization With an Aging Leader and Challengers , 2013, IEEE Transactions on Evolutionary Computation.
[259] M. Imran,et al. An Overview of Particle Swarm Optimization Variants , 2013 .
[260] Mustafa Servet Kiran,et al. Particle swarm optimization with a new update mechanism , 2017, Appl. Soft Comput..
[261] Robert G. Reynolds,et al. Leveraged Neighborhood Restructuring in Cultural Algorithms for Solving Real-World Numerical Optimization Problems , 2016, IEEE Transactions on Evolutionary Computation.
[262] Andries Petrus Engelbrecht,et al. An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm , 2019, ICSI.
[263] A. Rahimi-Kian,et al. A Novel Binary Particle Swarm Optimization Method Using Artificial Immune System , 2005, EUROCON 2005 - The International Conference on "Computer as a Tool".
[264] Mohammad Reza Meybodi,et al. Cellular PSO: A PSO for Dynamic Environments , 2009, ISICA.
[265] Tim Hendtlass,et al. A Combined Swarm Differential Evolution Algorithm for Optimization Problems , 2001, IEA/AIE.
[266] Zbigniew Michalewicz,et al. Stability Analysis of the Particle Swarm Optimization Without Stagnation Assumption , 2016, IEEE Transactions on Evolutionary Computation.
[267] José Neves,et al. The fully informed particle swarm: simpler, maybe better , 2004, IEEE Transactions on Evolutionary Computation.
[268] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[269] Moncef Gabbouj,et al. A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals , 2009, IEEE Transactions on Biomedical Engineering.
[270] Hui Wang,et al. Diversity enhanced particle swarm optimization with neighborhood search , 2013, Inf. Sci..
[271] Bowen Wang,et al. Particle Swarm Optimization with Gaussian Disturbance , 2017, 2017 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII).
[272] Michael N. Vrahatis,et al. Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems , 2005, ICNC.
[273] Liang Gao,et al. An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process , 2012, Appl. Soft Comput..
[274] Michael N. Vrahatis,et al. Particle Swarm Optimization Method for Constrained Optimization Problems , 2002 .
[275] Xuhui Chen,et al. A Hybrid Algorithm Based on PSO and Simulated Annealing and Its Applications for Partner Selection in Virtual Enterprise , 2005, ICIC.
[276] Yuhui Shi,et al. Metaheuristic research: a comprehensive survey , 2018, Artificial Intelligence Review.
[277] Liang Gao,et al. Cellular particle swarm optimization , 2011, Inf. Sci..
[278] Farid Bourennani,et al. Cooperative Asynchronous Parallel Particle Swarm Optimization for Large Dimensional Problems , 2019, Int. J. Appl. Metaheuristic Comput..
[279] Yanchun Liang,et al. Hybrid evolutionary algorithms based on PSO and GA , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[280] Nor Ashidi Mat Isa,et al. A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems , 2020, Expert Syst. Appl..
[281] Geng Lin,et al. A hybrid binary particle swarm optimization with tabu search for the set-union knapsack problem , 2019, Expert Syst. Appl..
[282] Cheng-Chien Kuo,et al. Modified particle swarm optimization algorithm with simulated annealing behavior and its numerical verification , 2011, Appl. Math. Comput..
[283] Vesselin K. Vassilev,et al. Smoothness, ruggedness and neutrality of fitness landscapes: from theory to application , 2003 .
[284] James Kennedy,et al. The particle swarm: social adaptation of knowledge , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[285] Hongyu Yang,et al. Self-adaptive mutation differential evolution algorithm based on particle swarm optimization , 2019, Appl. Soft Comput..
[286] Danton Diego Ferreira,et al. Young's Modulus and Poisson's Ratio Estimation Based on PSO Constriction Factor Method Parameters Evaluation , 2019, International Journal of Manufacturing, Materials, and Mechanical Engineering.
[287] Fernando de la Prieta,et al. Artificial neural networks used in optimization problems , 2018, Neurocomputing.
[288] Andries Petrus Engelbrecht,et al. Cooperative learning in neural networks using particle swarm optimizers , 2000, South Afr. Comput. J..
[289] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[290] S.N. Singh,et al. Fuzzy Adaptive Particle Swarm Optimization for Bidding Strategy in Uniform Price Spot Market , 2007, IEEE Transactions on Power Systems.
[291] T. Prem Jacob,et al. A Multi-objective Optimal Task Scheduling in Cloud Environment Using Cuckoo Particle Swarm Optimization , 2019, Wirel. Pers. Commun..
[292] Andries Petrus Engelbrecht,et al. Particle swarm convergence: An empirical investigation , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[293] Xi-Huai Wang,et al. Hybrid particle swarm optimization with simulated annealing , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
[294] Chukiat Worasucheep. A particle swarm optimization for high-dimensional function optimization , 2010, ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
[295] Bernhard Sendhoff,et al. A framework for evolutionary optimization with approximate fitness functions , 2002, IEEE Trans. Evol. Comput..
[296] Jon Atli Benediktsson,et al. Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization , 2015, IEEE Geoscience and Remote Sensing Letters.
[297] Jeng-Shyang Pan,et al. An improved vector particle swarm optimization for constrained optimization problems , 2011, Inf. Sci..
[298] Davoud Sedighizadeh,et al. Optimization of multi objective vehicle routing problem using a new hybrid algorithm based on particle swarm optimization and artificial bee colony algorithm considering Precedence constraints , 2017, Alexandria Engineering Journal.
[299] Yu Tian,et al. Intelligent Prediction of Transmission Line Project Cost Based on Least Squares Support Vector Machine Optimized by Particle Swarm Optimization , 2018 .
[300] Nik Bessis,et al. CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems , 2016, Soft Computing.
[301] Ponnuthurai N. Suganthan,et al. A novel concurrent particle swarm optimization , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[302] Yaochu Jin,et al. A Competitive Swarm Optimizer for Large Scale Optimization , 2015, IEEE Transactions on Cybernetics.
[303] Jing J. Liang,et al. Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[304] V. Saravanan,et al. A novel approach on Particle Agent Swarm Optimization (PASO) in semantic mining for web page recommender system of multimedia data: a health care perspective , 2019, Multimedia Tools and Applications.
[305] Juan Lin,et al. Discrete comprehensive learning particle swarm optimization algorithm with Metropolis acceptance criterion for traveling salesman problem , 2018, Swarm Evol. Comput..
[306] Seyed Morad-Ali Hashemi,et al. Simulation of daily suspended sediment load using an improved model of support vector machine and genetic algorithms and particle swarm , 2019, Arabian Journal of Geosciences.
[307] Xiaodong Li,et al. Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms , 2009, 2009 IEEE Congress on Evolutionary Computation.
[308] Abbas Ahmadi,et al. A Novel Clustering Algorithm Based on Fully-Informed Particle Swarm , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).
[309] Nadeem Javaid,et al. Managing Energy in Smart Homes Using Binary Particle Swarm Optimization , 2017, CISIS.
[310] Ponnuthurai N. Suganthan,et al. Population topologies for particle swarm optimization and differential evolution , 2017, Swarm Evol. Comput..