Optimal fuzzy inverse dynamics control of a parallelogram mechanism based on a new multi-objective PSO
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[1] Hossein Nezamabadi-pour,et al. A Clustering Based Archive Multi Objective Gravitational Search Algorithm , 2015, Fundam. Informaticae.
[2] Leila Notash,et al. FUZZY LOGIC-BASED INVERSE DYNAMIC MODELLING OF ROBOT MANIPULATORS , 2010 .
[3] Farzin Piltan,et al. Design Parallel Fuzzy Partly Inverse Dynamic Method plus Gravity Control for Highly Nonlinear Continuum Robot , 2014 .
[4] Rubén González Crespo,et al. MOVPSO: Vortex Multi-Objective Particle Swarm Optimization , 2017, Appl. Soft Comput..
[5] Zhiping Ding. Research of improved particle swarm optimization algorithm , 2017 .
[6] Andrea Giusti,et al. Combined inverse-dynamics/passivity-based control for robots with elastic joints , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[7] Min-You Chen,et al. Optimal placement of distributed generation units in distribution systems via an enhanced multi-objective particle swarm optimization algorithm , 2014, Journal of Zhejiang University SCIENCE C.
[8] MirjaliliSeyedali,et al. Multi-objective grey wolf optimizer , 2016 .
[9] James Kennedy,et al. Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.
[10] P. Wilcox,et al. AIP Conference Proceedings , 2012 .
[11] Hanlei Wang. On adaptive inverse dynamics for free-floating space manipulators , 2011, Robotics Auton. Syst..
[12] Kalyanmoy Deb,et al. Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms , 2017, IEEE Transactions on Evolutionary Computation.
[13] Leandro dos Santos Coelho,et al. Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization , 2016, Expert Syst. Appl..
[14] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[15] Farzin Piltan,et al. Design Gradient Descent Optimal Sliding Mode Control of Continuum Robots , 2012, ICRA 2012.
[16] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[17] Mohammad Javad Mahmoodabadi,et al. Simulation of stability using Java application for Pareto design of controllers based on a new multi-objective particle swarm optimization , 2011, Math. Comput. Model..
[18] Ahmad Bagheri,et al. HEPSO: High exploration particle swarm optimization , 2014, Inf. Sci..
[19] 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).
[20] Carlos A. Coello Coello,et al. Generalized Differential Evolution for Numerical and Evolutionary Optimization , 2015, NEO.
[21] Salman Mohagheghi,et al. Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.
[22] Maoguo Gong,et al. Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition , 2014, IEEE Transactions on Evolutionary Computation.
[23] John A. W. McCall,et al. D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces , 2014, Evolutionary Computation.
[24] Kalyanmoy Deb,et al. Multiobjective Problem Solving from Nature: From Concepts to Applications , 2008, Natural Computing Series.
[25] Sanghamitra Bandyopadhyay,et al. Reliability of convergence metric and hypervolume indicator for many-objective optimization , 2016, 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC).
[26] K. Atashkari,et al. Multi-objective optimization of power and heating system based on artificial bee colony , 2011, 2011 International Symposium on Innovations in Intelligent Systems and Applications.
[27] Wei-Der Chang,et al. A multi-crossover genetic approach to multivariable PID controllers tuning , 2007, Expert Syst. Appl..
[28] Yezid Donoso,et al. Multi-Objective Optimization in Computer Networks Using Metaheuristics , 2007 .
[29] Lide Wang,et al. Fuzzy immune particle swarm optimization algorithm and its application in scheduling of MVB periodic information , 2017, J. Intell. Fuzzy Syst..
[30] Richard Curran,et al. Optimization of noise abatement aircraft terminal routes using a multi-objective evolutionary algorithm based on decomposition , 2018 .
[31] Yujia Wang,et al. Particle swarm optimization with preference order ranking for multi-objective optimization , 2009, Inf. Sci..
[32] Ahmad Bagheri,et al. Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO , 2014, Neurocomputing.
[33] Shuxia Lin,et al. ROBUST ADAPTIVE INVERSE DYNAMICS CONTROL FOR UNCERTAIN ROBOT MANIPULATOR , 2013 .
[34] Cheng-Lung Huang,et al. Hybridization strategies for continuous ant colony optimization and particle swarm optimization applied to data clustering , 2013, Appl. Soft Comput..
[35] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[36] Jafar Razmi,et al. An intuitionistic fuzzy goal programming approach for finding pareto-optimal solutions to multi-objective programming problems , 2016, Expert Syst. Appl..
[37] Evan J. Hughes. Fitness Assignment Methods for Many-Objective Problems , 2008, Multiobjective Problem Solving from Nature.
[38] Mostafa Zandieh,et al. Comparisons of some improving strategies on NSGA-II for multi-objective inventory system , 2017 .
[39] Jürgen Branke,et al. Empirical comparison of MOPSO methods - Guide selection and diversity preservation - , 2009, 2009 IEEE Congress on Evolutionary Computation.
[40] Mark W. Spong,et al. Robot dynamics and control , 1989 .
[41] Lamjed Ben Said,et al. Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey , 2017, Recent Advances in Evolutionary Multi-objective Optimization.
[42] M. Vijaya Kumar,et al. Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS , 2017 .
[43] Dervis Karaboga,et al. A modified Artificial Bee Colony algorithm for real-parameter optimization , 2012, Inf. Sci..
[44] Jianbo Su,et al. Computed torque control-based composite nonlinear feedback controller for robot manipulators with bounded torques , 2009 .
[45] Shyhwang Ong,et al. Performance differences between multi-objective evolutionary algorithms in different environments , 2016 .
[46] Jun Zhang,et al. Adaptive Particle Swarm Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).