An improved particle swarm optimization based on the reinforcement of the population initialization phase by scrambled Halton sequence
暂无分享,去创建一个
Ahmad Bagheri | Saeed Nezamivand Chegini | Pouriya Amini Digehsara | Masoumeh Pourabd Roknsaraei | A. Bagheri | S. N. Chegini
[1] Seyedali Mirjalili,et al. Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems , 2015, Neural Computing and Applications.
[2] Seyed Mohammad Mirjalili,et al. The Ant Lion Optimizer , 2015, Adv. Eng. Softw..
[3] Saman K. Halgamuge,et al. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.
[4] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[5] Ahmad Bagheri,et al. HEPSO: High exploration particle swarm optimization , 2014, Inf. Sci..
[6] E. Sandgren,et al. Nonlinear Integer and Discrete Programming in Mechanical Design Optimization , 1990 .
[7] Wenjian Luo,et al. Differential evolution with dynamic stochastic selection for constrained optimization , 2008, Inf. Sci..
[8] Seyed Mohammad Mirjalili,et al. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..
[9] Tarun Kumar Sharma,et al. Improved Local Search in Artificial Bee Colony using Golden Section Search , 2012, ArXiv.
[10] Q. H. Wu,et al. A heuristic particle swarm optimizer for optimization of pin connected structures , 2007 .
[11] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[12] Harish Garg,et al. A hybrid PSO-GA algorithm for constrained optimization problems , 2016, Appl. Math. Comput..
[13] Min-Yuan Cheng,et al. Symbiotic Organisms Search: A new metaheuristic optimization algorithm , 2014 .
[14] Ardeshir Bahreininejad,et al. Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems , 2013, Appl. Soft Comput..
[15] Andrew Lewis,et al. Autonomous Particles Groups for Particle Swarm Optimization , 2014 .
[16] A. Bagheri,et al. Interval Search with Quadratic Interpolation and Stable Deviation Quantum-Behaved Particle Swarm Optimization (IQS-QPSO) , 2019, The International Journal of Multiphysics.
[17] A. Gandomi. Interior search algorithm (ISA): a novel approach for global optimization. , 2014, ISA transactions.
[18] Yong Wang,et al. Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization , 2010, Appl. Soft Comput..
[19] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[20] Hirad Abghari,et al. Application of PSO algorithm in short-term optimization of reservoir operation , 2016, Environmental Monitoring and Assessment.
[21] Tapabrata Ray,et al. ENGINEERING DESIGN OPTIMIZATION USING A SWARM WITH AN INTELLIGENT INFORMATION SHARING AMONG INDIVIDUALS , 2001 .
[22] Xiaojun Wu,et al. Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point , 2011, Appl. Math. Comput..
[23] Amir Hossein Gandomi,et al. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.
[24] S. SreeRanjiniK.,et al. Expert Systems With Applications , 2022 .
[25] Guangqing Bao,et al. Particle swarm optimization algorithm with asymmetric time varying acceleration coefficients , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[26] Harald Niederreiter,et al. Random number generation and Quasi-Monte Carlo methods , 1992, CBMS-NSF regional conference series in applied mathematics.
[27] K. M. Ragsdell,et al. Optimal Design of a Class of Welded Structures Using Geometric Programming , 1976 .
[28] Michael N. Vrahatis,et al. Particle Swarm Optimization and Intelligence: Advances and Applications , 2010 .
[29] Ching-Yuen Chan,et al. An opposition-based chaotic GA/PSO hybrid algorithm and its application in circle detection , 2012, Comput. Math. Appl..
[30] Zhenbo Li,et al. Study on hybrid PS-ACO algorithm , 2011, Applied Intelligence.
[31] Xin-She Yang,et al. Engineering Optimization: An Introduction with Metaheuristic Applications , 2010 .
[32] G. G. Wang,et al. Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points , 2003 .
[33] Carlos A. Coello Coello,et al. Engineering optimization using simple evolutionary algorithm , 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.
[34] Gregory E. Fasshauer,et al. Meshfree Approximation Methods with Matlab , 2007, Interdisciplinary Mathematical Sciences.
[35] Jitendriya Ku Satapathy,et al. Time delay approach for PSS and SSSC based coordinated controller design using hybrid PSO–GSA algorithm , 2015 .
[36] Debashis Chatterjee,et al. An application of PSO technique for harmonic elimination in a PWM inverter , 2009, Appl. Soft Comput..
[37] Farid Najafi,et al. PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems , 2018, Appl. Soft Comput..
[38] A. Jamali,et al. A new optimization algorithm based on a combination of particle swarm optimization, convergence and divergence operators for single-objective and multi-objective problems , 2012 .
[39] 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).
[40] Jung-Fa Tsai,et al. Global optimization of nonlinear fractional programming problems in engineering design , 2005 .
[41] Zhihua Cui,et al. An Improved PSO with Time-Varying Accelerator Coefficients , 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.
[42] Zhang Chao,et al. Study on Application of PSO with Time Window for User Recommendation in Research Social Networks , 2017, ICBIM 2017.
[43] Zengqiang Chen,et al. New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process , 2007, IEEE Transactions on Neural Networks.
[44] S. N. Kramer,et al. An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and Its Applications to Mechanical Design , 1994 .
[45] Peter Hellekalek,et al. Regularities in the distribution of special sequences , 1984 .
[46] MirjaliliSeyedali. Moth-flame optimization algorithm , 2015 .
[47] Andrew Lewis,et al. The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..
[48] W. J. Whiten,et al. Computational investigations of low-discrepancy sequences , 1997, TOMS.
[49] Ling Wang,et al. An effective co-evolutionary particle swarm optimization for constrained engineering design problems , 2007, Eng. Appl. Artif. Intell..
[50] Seyed Mohammad Mirjalili,et al. Multi-Verse Optimizer: a nature-inspired algorithm for global optimization , 2015, Neural Computing and Applications.
[51] Zhang Dingxue,et al. A Modified Particle Swarm Optimization with an Adaptive Acceleration Coefficients , 2009, 2009 Asia-Pacific Conference on Information Processing.
[52] E. Braaten,et al. An Improved Low-Discrepancy Sequence for Multidimensional Quasi-Monte Carlo Integration , 1979 .
[53] Carlos A. Coello Coello,et al. An empirical study about the usefulness of evolution strategies to solve constrained optimization problems , 2008, Int. J. Gen. Syst..
[54] Hongmei Chi,et al. Particle Swarm Optimization Simulation via Optimal Halton Sequences , 2016, ICCS.
[55] Siamak Talatahari,et al. An improved ant colony optimization for constrained engineering design problems , 2010 .
[56] Tapabrata Ray,et al. A socio-behavioural simulation model for engineering design optimization , 2002 .
[57] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .
[58] Jerome Spanier,et al. Quasi-Random Methods for Estimating Integrals Using Relatively Small Samples , 1994, SIAM Rev..
[59] A. Ghanbarzadeh,et al. Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand est , 2010 .
[60] S. Mirjalili,et al. A new hybrid PSOGSA algorithm for function optimization , 2010, 2010 International Conference on Computer and Information Application.
[61] Carlos A. Coello Coello,et al. Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .
[62] Kwok-wing Chau,et al. Application of a PSO-based neural network in analysis of outcomes of construction claims , 2007 .
[63] Carlos A. Coello Coello,et al. THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART , 2002 .
[64] Li Chen,et al. TAGUCHI-AIDED SEARCH METHOD FOR DESIGN OPTIMIZATION OF ENGINEERING SYSTEMS , 1998 .
[65] Seyedali Mirjalili,et al. SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..
[66] Leandro dos Santos Coelho,et al. Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[67] Kwok-Wo Wong,et al. An improved particle swarm optimization algorithm combined with piecewise linear chaotic map , 2007, Appl. Math. Comput..
[68] 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.
[69] A. Kaveh,et al. A new meta-heuristic method: Ray Optimization , 2012 .