An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training
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[1] B. Sankaragomathi,et al. Performance Enhancement of PID Controllers by Modern Optimization Techniques for Speed Control of PMBL DC Motor , 2015 .
[2] A. Rubio-Largo,et al. MO-ABC/DE - Multiobjective Artificial Bee Colony with Differential Evolution for unconstrained multiobjective optimization , 2012, 2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI).
[3] Junjie Li,et al. Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions , 2011, Inf. Sci..
[4] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[5] Ning Wang,et al. A Generalized Online Self-organizing Fuzzy Neural Network for nonlinear dynamic system identification , 2011, Proceedings of the 30th Chinese Control Conference.
[6] Lingling Huang,et al. A novel artificial bee colony algorithm with Powell's method , 2013, Appl. Soft Comput..
[7] Minghao Yin,et al. Hybrid differential evolution with artificial bee colony and its application for design of a reconfigurable antenna array with discrete phase shifters , 2012 .
[8] Ataollah Ebrahimzadeh,et al. New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm , 2014, Appl. Soft Comput..
[9] Bilal Babayigit,et al. A modified artificial bee colony algorithm for numerical function optimization , 2012, 2012 IEEE Symposium on Computers and Communications (ISCC).
[10] Hamid Baseri,et al. Optimization of magnetic field assisted EDM using the continuous ACO algorithm , 2014, Appl. Soft Comput..
[11] Shota Uehara,et al. Protein-ligand docking using fitness learning-based artificial bee colony with proximity stimuli. , 2015, Physical chemistry chemical physics : PCCP.
[12] Meng Joo Er,et al. A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks , 2001, IEEE Trans. Fuzzy Syst..
[13] Sam Kwong,et al. Gbest-guided artificial bee colony algorithm for numerical function optimization , 2010, Appl. Math. Comput..
[14] Quang Hung Do,et al. A cooperative Cuckoo Search - hierarchical adaptive neuro-fuzzy inference system approach for predicting student academic performance , 2014, J. Intell. Fuzzy Syst..
[15] Lingling Huang,et al. Enhancing artificial bee colony algorithm using more information-based search equations , 2014, Inf. Sci..
[16] Miguel A. Vega-Rodríguez,et al. Performance analysis of Multiobjective Artificial Bee Colony implementations for phylogenetic reconstruction , 2014, 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014).
[17] K. Selvi,et al. Neuro Fuzzy Load Frequency Control in a Competitive Electricity Market Using BFOA Tuned SMES and TCPS , 2014, SEMCCO.
[18] Samsul Bahari Mohd Noor,et al. Utilizing global-best harmony search to train a PID-like ANFIS controller , 2010 .
[19] Jun Zhang,et al. Global optimization of clusters of rigid molecules using the artificial bee colony algorithm. , 2016, Physical chemistry chemical physics : PCCP.
[20] T. Achalakul,et al. The best-sofar selection in Artificial Bee Colony algorithm , 2015 .
[21] Mohd Saberi Mohamad,et al. Optimising the production of succinate and lactate in Escherichia coli using a hybrid of artificial bee colony algorithm and minimisation of metabolic adjustment. , 2015, Journal of bioscience and bioengineering.
[22] M. Asadollahi-Baboli. In silico prediction of the aniline derivatives toxicities to Tetrahymena pyriformis using chemometrics tools , 2012 .
[23] Dervis Karaboga,et al. Proportional—Integral—Derivative Controller Design by Using Artificial Bee Colony, Harmony Search, and the Bees Algorithms , 2010 .
[24] Dervis Karaboga,et al. A modified Artificial Bee Colony algorithm for real-parameter optimization , 2012, Inf. Sci..
[25] Manoj Kumar Tiwari,et al. Leak detection of pipeline: An integrated approach of rough set theory and artificial bee colony trained SVM , 2012, Expert Syst. Appl..
[26] Dervis Karaboga,et al. A quick artificial bee colony (qABC) algorithm and its performance on optimization problems , 2014, Appl. Soft Comput..
[27] Tiranee Achalakul,et al. The best-so-far selection in Artificial Bee Colony algorithm , 2011, Appl. Soft Comput..
[28] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[29] Janez Brest,et al. Memetic artificial bee colony algorithm for large-scale global optimization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[30] Ajith Abraham,et al. Levy mutated Artificial Bee Colony algorithm for global optimization , 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.
[31] 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.
[32] Keigo Watanabe,et al. An optimized Takagi-Sugeno type neuro-fuzzy system for modeling robot manipulators , 2006, Neural Computing & Applications.
[33] V. M. F. Mendes,et al. Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting , 2011, 2011 IEEE Power and Energy Society General Meeting.
[34] Ioannis B. Theocharis. A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation , 2006, Fuzzy Sets Syst..
[35] Kwang Bo Cho,et al. Radial basis function based adaptive fuzzy systems and their applications to system identification and prediction , 1996, Fuzzy Sets Syst..
[36] Bing Wang,et al. A Novel Artificial Bee Colony Algorithm for Numerical Function Optimization , 2012, 2012 Fourth International Conference on Computational and Information Sciences.
[37] Syeda Shabnam Hasan. Balaning Explorations with Exploitations in the Artificial Bee Colony Algorithm for Numerical Function Optimization , 2015 .
[38] James W. Fawcett,et al. New change impact factor estimation in software development , 2012 .
[39] Chia-Feng Juang,et al. A recurrent self-organizing neural fuzzy inference network , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[40] Derviş Karaboğa,et al. NEURAL NETWORKS TRAINING BY ARTIFICIAL BEE COLONY ALGORITHM ON PATTERN CLASSIFICATION , 2009 .
[41] Zhijian Wu,et al. Accelerating artificial bee colony algorithm by using an external archive , 2013, 2013 IEEE Congress on Evolutionary Computation.
[42] Meng Joo Er,et al. A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks , 2009, Neurocomputing.
[43] Shiu Yin Yuen,et al. Improving artificial bee colony with one-position inheritance mechanism , 2013, Memetic Comput..
[44] D. Jeya Mala,et al. Automated software test optimisation framework - an artificial bee colony optimisation-based approach , 2010, IET Softw..
[45] S. Edward Rajan,et al. A novel approach for the elimination of artefacts from EEG signals employing an improved Artificial Immune System algorithm , 2016, J. Exp. Theor. Artif. Intell..
[46] Jaya Sil,et al. Modified Artificial Bee Colony Algorithm using differential evolution and polynomial mutation for real-parameter optimization , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
[47] Jiong Shen,et al. Automatic fuzzy partitioning approach using Variable string length Artificial Bee Colony (VABC) algorithm , 2012, Appl. Soft Comput..
[48] Ning Wang,et al. Hybrid artificial bee colony algorithm for parameter estimation of proton exchange membrane fuel cell , 2013 .
[49] Dervis Karaboga,et al. Artificial bee colony algorithm , 2010, Scholarpedia.
[50] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[51] Sanyang Liu,et al. Improved artificial bee colony algorithm for global optimization , 2011 .
[52] A. Sedigh,et al. Training ANFIS system with DE algorithm , 2011, The Fourth International Workshop on Advanced Computational Intelligence.
[53] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[54] Ming-Huwi Horng,et al. Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation , 2011, Expert Syst. Appl..
[55] Peng Zeng,et al. Linear Weighted Gbest-Guided Artificial Bee Colony Algorithm , 2012, 2012 Fifth International Symposium on Computational Intelligence and Design.
[56] Derviş Karaboğa,et al. Artificial bee colony algorithm for dynamic deployment of wireless sensor networks , 2012, Turkish Journal of Electrical Engineering and Computer Sciences.
[57] Liang-Ying Wei,et al. A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting , 2013, Appl. Soft Comput..
[58] Dervis Karaboga,et al. Training ANFIS using artificial bee colony algorithm for nonlinear dynamic systems identification , 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).
[59] L dos Santos Coelho,et al. Gaussian Artificial Bee Colony Algorithm Approach Applied to Loney's Solenoid Benchmark Problem , 2010, IEEE Transactions on Magnetics.
[60] S. M. Khazraee,et al. Model reduction and optimization of reactive batch distillation based on the adaptive neuro-fuzzy inference system and differential evolution , 2010, Neural Computing and Applications.
[61] Jianzhong Zhou,et al. An adaptive artificial bee colony algorithm for long-term economic dispatch in cascaded hydropower systems , 2012 .
[62] Raimondo Betti,et al. Identification of structural models using a modified Artificial Bee Colony algorithm , 2013 .
[63] Paris A. Mastorocostas,et al. A recurrent fuzzy-neural model for dynamic system identification , 2002, IEEE Trans. Syst. Man Cybern. Part B.
[64] Lingling Huang,et al. A global best artificial bee colony algorithm for global optimization , 2012, J. Comput. Appl. Math..
[65] Kamalodin Kor,et al. Bee Algorithm and Adaptive Neuro-Fuzzy Inference System as Tools for QSAR Study Toxicity of Substituted Benzenes to Tetrahymena pyriformis , 2014, Bulletin of Environmental Contamination and Toxicology.
[66] S. Charles Raja,et al. Design of ANFIS Controller for Power System Stability Enhancement Using FACTS Device , 2015 .
[67] Jing Wang,et al. Epileptic EEG Signal Classification with ANFIS Based on Harmony Search Method , 2012, 2012 Eighth International Conference on Computational Intelligence and Security.
[68] Yang-Yin Lin,et al. A recurrent self-evolving fuzzy neural network with local feedbacks and its application to dynamic system processing , 2010, Fuzzy Sets Syst..
[69] M. S. Alam,et al. Artificial Bee Colony algorithm with Self-Adaptive Mutation: A novel approach for numeric optimization , 2011, TENCON 2011 - 2011 IEEE Region 10 Conference.
[70] Ching-Hung Lee,et al. Identification and control of dynamic systems using recurrent fuzzy neural networks , 2000, IEEE Trans. Fuzzy Syst..
[71] Dervis Karaboga,et al. Training ANFIS using artificial bee colony algorithm , 2013, 2013 IEEE INISTA.
[72] Cheng-Jian Lin,et al. Prediction and identification using wavelet-based recurrent fuzzy neural networks , 2004, IEEE Trans. Syst. Man Cybern. Part B.
[73] H. Shayeghi,et al. A modified artificial bee colony based on chaos theory for solving non-convex emission/economic dispatch , 2014 .
[74] Azlan Mohd Zain,et al. Robust optimization of ANFIS based on a new modified GA , 2015, Neurocomputing.
[75] Nurhan Karaboga,et al. A new design method based on artificial bee colony algorithm for digital IIR filters , 2009, J. Frankl. Inst..
[76] Minghao Yin,et al. Self Adaptive Artificial Bee Colony for Global Numerical Optimization , 2012 .
[77] Wan-li Xiang,et al. An efficient and robust artificial bee colony algorithm for numerical optimization , 2013, Comput. Oper. Res..
[78] Chia-Feng Juang,et al. A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms , 2002, IEEE Trans. Fuzzy Syst..
[79] Fei Jiang,et al. An improved artificial bee colony algorithm for directing orbits of chaotic systems , 2011, Appl. Math. Comput..
[80] Dervis Karaboga,et al. A novel clustering approach: Artificial Bee Colony (ABC) algorithm , 2011, Appl. Soft Comput..
[81] Ali Sarosh,et al. Simulated annealing based artificial bee colony algorithm for global numerical optimization , 2012, Appl. Math. Comput..
[82] Rosni Abdullah,et al. Protein Tertiary Structure Prediction Using Artificial Bee Colony Algorithm , 2009, 2009 Third Asia International Conference on Modelling & Simulation.
[83] Efrén Mezura-Montes,et al. Elitist Artificial Bee Colony for constrained real-parameter optimization , 2010, IEEE Congress on Evolutionary Computation.
[84] H. T. Jadhav,et al. Modified Artificial Bee Colony algorithm for non-convex economic dispatch problems , 2012, 2012 International Conference on Green Technologies (ICGT).
[85] Jeng-Shyang Pan,et al. Enhanced Artificial Bee Colony Optimization , 2022 .
[86] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[87] A. G. Abro,et al. Intelligent scout-bee based Artificial Bee Colony optimization algorithm , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.
[88] P. J. Pawar,et al. Modelling and optimization of process parameters of wire electrical discharge machining , 2009 .
[89] Peilin Liu,et al. Training ANFIS Model with an Improved Quantum-Behaved Particle Swarm Optimization Algorithm , 2013 .
[90] Mohammed El-Abd,et al. Generalized opposition-based artificial bee colony algorithm , 2012, 2012 IEEE Congress on Evolutionary Computation.
[91] K. S. Ramaswami,et al. A Fusion Model Integrating ANFIS and Artificial Immune Algorithm for Forecasting Indian Stock Market , 2011 .
[92] Qian Wang,et al. A modified artificial bee colony algorithm based on converge-onlookers approach for global optimization , 2013, Appl. Math. Comput..
[93] Weifeng Gao,et al. A modified artificial bee colony algorithm , 2012, Comput. Oper. Res..
[94] W. Y. Szeto,et al. An artificial bee colony algorithm for the capacitated vehicle routing problem , 2011, Eur. J. Oper. Res..