Chaotic electromagnetic field optimization

[1]  A. M. Ibrahim,et al.  Improved salp swarm algorithm combined with chaos , 2022, Math. Comput. Simul..

[2]  Hakan Ezgi Kiziloz,et al.  A comprehensive survey on recent metaheuristics for feature selection , 2022, Neurocomputing.

[3]  J. Agushaka,et al.  Dwarf Mongoose Optimization Algorithm , 2022, Computer Methods in Applied Mechanics and Engineering.

[4]  Diego Oliva,et al.  Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization , 2022, Multimedia Tools and Applications.

[5]  A. M. Ibrahim,et al.  An improved artificial algae algorithm integrated with differential evolution for job-shop scheduling problem , 2022, Journal of Intelligent Manufacturing.

[6]  M. A. Tawhid,et al.  Solving nonlinear systems and unconstrained optimization problems by hybridizing whale optimization algorithm and flower pollination algorithm , 2021, Math. Comput. Simul..

[7]  Yiying Zhang,et al.  Chaotic neural network algorithm with competitive learning for global optimization , 2021, Knowl. Based Syst..

[8]  Chen Menghan,et al.  Direction of arrival estimation method based on quantum electromagnetic field optimization in the impulse noise , 2021, Journal of Systems Engineering and Electronics.

[9]  Kayhan Zrar Ghafoor,et al.  Nonlinear-based Chaotic Harris Hawks Optimizer: Algorithm and Internet of Vehicles application , 2021, Appl. Soft Comput..

[10]  E. Frimpong,et al.  Improvement of gray system model using particle swarm optimization , 2021 .

[11]  Raghav Prasad Parouha,et al.  An advanced hybrid meta-heuristic algorithm for solving small- and large-scale engineering design optimization problems , 2021 .

[12]  Kalyani Mali,et al.  Fuzzy Electromagnetism Optimization (FEMO) and its application in biomedical image segmentation , 2020, Applied Soft Computing.

[13]  Stelios Tsafarakis,et al.  A mayfly optimization algorithm , 2020, Comput. Ind. Eng..

[14]  Rabab K. Ward,et al.  A binary water wave optimization for feature selection , 2020, Int. J. Approx. Reason..

[15]  Mohamed A. Tawhid,et al.  Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm , 2020, Int. J. Mach. Learn. Cybern..

[16]  Mohamed A. Tawhid,et al.  A hybridization of grey wolf optimizer and differential evolution for solving nonlinear systems , 2020, Evol. Syst..

[17]  Millie Pant,et al.  Electromagnetic optimization‐based clustering algorithm , 2019, Expert Syst. J. Knowl. Eng..

[18]  Yuhui Shi,et al.  Metaheuristic research: a comprehensive survey , 2018, Artificial Intelligence Review.

[19]  Hossam Faris,et al.  Harris hawks optimization: Algorithm and applications , 2019, Future Gener. Comput. Syst..

[20]  S. Deb,et al.  Monarch butterfly optimization , 2019, Neural Computing and Applications.

[21]  Houssem Bouchekara,et al.  Solution of the optimal power flow problem considering security constraints using an improved chaotic electromagnetic field optimization algorithm , 2019, Neural Computing and Applications.

[22]  Mohamed A. Tawhid,et al.  A hybridization of cuckoo search and particle swarm optimization for solving nonlinear systems , 2019, Evol. Intell..

[23]  Ilker Kucukoglu Adaptive Electromagnetic Field Optimization Algorithm for the Solar Cell Parameter Identification Problem , 2019, International Journal of Photoenergy.

[24]  Alkın Yurtkuran,et al.  An Improved Electromagnetic Field Optimization for the Global Optimization Problems , 2019, Comput. Intell. Neurosci..

[25]  Heming Jia,et al.  A Chaotic Electromagnetic Field Optimization Algorithm Based on Fuzzy Entropy for Multilevel Thresholding Color Image Segmentation , 2019, Entropy.

[26]  Murat Şahin,et al.  Balancing Multi-Manned Assembly Lines With Walking Workers: Problem Definition, Mathematical Formulation, and an Electromagnetic Field Optimisation Algorithm , 2019, Int. J. Prod. Res..

[27]  Venkatesan Subramanian,et al.  Reinforced cuckoo search algorithm-based multimodal optimization , 2019, Applied Intelligence.

[28]  Mohammad Naderi Dehkordi,et al.  Sensitive association rules hiding using electromagnetic field optimization algorithm , 2018, Expert Syst. Appl..

[29]  Mohamed A. Tawhid,et al.  A hybridization of differential evolution and monarch butterfly optimization for solving systems of nonlinear equations , 2018, J. Comput. Des. Eng..

[30]  Anupam Yadav,et al.  A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm , 2018, Appl. Soft Comput..

[31]  Sankalap Arora,et al.  Chaotic grey wolf optimization algorithm for constrained optimization problems , 2018, J. Comput. Des. Eng..

[32]  Mohamed A. Tawhid,et al.  A hybrid social spider optimization and genetic algorithm for minimizing molecular potential energy function , 2017, Soft Comput..

[33]  Mohamed A. Tawhid,et al.  A Hybrid grey wolf optimizer and genetic algorithm for minimizing potential energy function , 2017, Memetic Computing.

[34]  Mohammad Ali Abido,et al.  Optimal coordination of directional overcurrent relays using a modified electromagnetic field optimization algorithm , 2017, Appl. Soft Comput..

[35]  Aboul Ella Hassanien,et al.  Feature selection via a novel chaotic crow search algorithm , 2017, Neural Computing and Applications.

[36]  Alireza Askarzadeh,et al.  A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm , 2016 .

[37]  Ahmed F Ali,et al.  A hybrid cuckoo search algorithm with Nelder Mead method for solving global optimization problems , 2016, SpringerPlus.

[38]  Crina Grosan,et al.  Feature Selection via Chaotic Antlion Optimization , 2016, PloS one.

[39]  Mohamed A. Tawhid,et al.  A Hybrid PSO and DE Algorithm for Solving Engineering Optimization Problems , 2016 .

[40]  Dayang N. A. Jawawi,et al.  Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm , 2016, Swarm Evol. Comput..

[41]  S. Hosseini,et al.  A new hybrid algorithm based on chaotic maps for solving systems of nonlinear equations , 2015 .

[42]  Seyed Mohammad Mirjalili,et al.  The Ant Lion Optimizer , 2015, Adv. Eng. Softw..

[43]  Louis M Pecora,et al.  Synchronization of chaotic systems. , 2015, Chaos.

[44]  Oguz Emrah Turgut,et al.  Chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations , 2014, Comput. Math. Appl..

[45]  Antonio Petraglia,et al.  Solving nonlinear systems of functional equations with fuzzy adaptive simulated annealing , 2013, Appl. Soft Comput..

[46]  Janak Raj Sharma,et al.  On efficient weighted-Newton methods for solving systems of nonlinear equations , 2013, Appl. Math. Comput..

[47]  Ayaz Isazadeh,et al.  Imperialist competitive algorithm for solving systems of nonlinear equations , 2013, Comput. Math. Appl..

[48]  Xin-She Yang,et al.  Chaos-enhanced accelerated particle swarm optimization , 2013, Commun. Nonlinear Sci. Numer. Simul..

[49]  Esmaile Khorram,et al.  Particle swarm algorithm for solving systems of nonlinear equations , 2011, Comput. Math. Appl..

[50]  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..

[51]  Xin-She Yang,et al.  Engineering Optimization: An Introduction with Metaheuristic Applications , 2010 .

[52]  Bilal Alatas,et al.  Chaotic harmony search algorithms , 2010, Appl. Math. Comput..

[53]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[54]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[55]  Ajith Abraham,et al.  A New Approach for Solving Nonlinear Equations Systems , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[56]  Kalyanmoy Deb,et al.  Optimization for Engineering Design: Algorithms and Examples , 2004 .

[57]  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.

[58]  Robert M. May,et al.  Simple mathematical models with very complicated dynamics , 1976, Nature.

[59]  Mohamed A. Tawhid,et al.  Hybrid Binary Particle Swarm Optimization and Flower Pollination Algorithm Based on Rough Set Approach for Feature Selection Problem , 2020, Nature-Inspired Computation in Data Mining and Machine Learning.

[60]  Gehad Ismail Sayed,et al.  Feature selection via a novel chaotic crow search algorithm , 2017, Neural Computing and Applications.

[61]  Ponnuthurai Nagaratnam Suganthan,et al.  Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization , 2014 .

[62]  Xin-She Yang,et al.  Firefly algorithm with chaos , 2013, Commun. Nonlinear Sci. Numer. Simul..

[63]  P. Suganthan,et al.  Problem Definitions and Evaluation Criteria for the CEC 2010 Competition on Constrained Real- Parameter Optimization , 2010 .

[64]  C. T. Kelley,et al.  Solving nonlinear equations with Newton's method - fundamentals of algorithms , 2003 .

[65]  R. Storn,et al.  Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .

[66]  C. Kelley Solving Nonlinear Equations with Newton's Method , 1987 .