An improved gorilla troops optimizer for global optimization problems and feature selection

[1]  Mohammad Masdari,et al.  An Improved African Vulture Optimization Algorithm for Feature Selection Problems and Its Application of Sentiment Analysis on Movie Reviews , 2022, Big Data Cogn. Comput..

[2]  O. N. Oyelade,et al.  A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets , 2022, Scientific Reports.

[3]  M. Kaur,et al.  An efficient feature selection method based on improved elephant herding optimization to classify high‐dimensional biomedical data , 2022, Expert Syst. J. Knowl. Eng..

[4]  Fatma A. Hashim,et al.  ST-AL: a hybridized search based metaheuristic computational algorithm towards optimization of high dimensional industrial datasets , 2022, Soft computing.

[5]  Fatma A. Hashim,et al.  Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection , 2022, Knowl. Based Syst..

[6]  F. S. Gharehchopogh,et al.  A Feature Selection Based on the Farmland Fertility Algorithm for Improved Intrusion Detection Systems , 2022, Journal of Network and Systems Management.

[7]  Birmohan Singh,et al.  A novel phishing detection system using binary modified equilibrium optimizer for feature selection , 2022, Comput. Electr. Eng..

[8]  M. Tostado‐Véliz,et al.  The Probabilistic Optimal Integration of Renewable Distributed Generators Considering the Time-Varying Load Based on an Artificial Gorilla Troops Optimizer , 2022, Energies.

[9]  Mohammed A. Awadallah,et al.  White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems , 2022, Knowl. Based Syst..

[10]  L. Abualigah,et al.  Modified marine predators algorithm for feature selection: case study metabolomics , 2022, Knowledge and Information Systems.

[11]  Karam M. Sallam,et al.  Parameter extraction of photovoltaic models using a memory-based improved gorilla troops optimizer , 2022, Energy Conversion and Management.

[12]  A. Cinar A Hybrid Artificial Differential Evolution Gorilla Troops Optimizer for High-Dimensional Optimization Problems , 2022, Studies in Computational Intelligence.

[13]  Gehad Ismail Sayed,et al.  A Novel Chaotic Artificial Gorilla Troops Optimizer and Its Application for Fundus Images Segmentation , 2021, AISI.

[14]  Ragab El-Sehiemy,et al.  Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems , 2021, Sustainability.

[15]  F. S. Gharehchopogh,et al.  Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems , 2021, Int. J. Intell. Syst..

[16]  Seyed Mohammad Mirjalili,et al.  African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems , 2021, Comput. Ind. Eng..

[17]  Mohammed A. A. Al-qaness,et al.  Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model , 2021, Engineering with Computers.

[18]  Farhad Soleimanian Gharehchopogh,et al.  A multi-objective optimization algorithm for feature selection problems , 2021, Engineering with Computers.

[19]  Amir H. Gandomi,et al.  A Survey of Learning-Based Intelligent Optimization Algorithms , 2021, Archives of Computational Methods in Engineering.

[20]  Malik Sh. Braik,et al.  Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems , 2021, Expert Syst. Appl..

[21]  Farhad Soleimanian Gharehchopogh,et al.  An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems , 2021, The Journal of Supercomputing.

[22]  N. Abbasy,et al.  Design of Cascaded PI-Fractional Order PID Controller for Improving the Frequency Response of Hybrid Microgrid System Using Gorilla Troops Optimizer , 2021, IEEE Access.

[23]  Anas A. Hadi,et al.  Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems , 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

[24]  M. Khishe,et al.  Chimp optimization algorithm , 2020, Expert Syst. Appl..

[25]  Reza Tavakkoli-Moghaddam,et al.  Red deer algorithm (RDA): a new nature-inspired meta-heuristic , 2020, Soft Computing.

[26]  Wei-guo Zhao,et al.  Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm , 2019, Neural Computing and Applications.

[27]  Hossam Faris,et al.  An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks , 2019, Inf. Fusion.

[28]  Hossam Faris,et al.  Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification , 2019, Neural Computing and Applications.

[29]  Hossam Faris,et al.  Binary grasshopper optimisation algorithm approaches for feature selection problems , 2019, Expert Syst. Appl..

[30]  Harpreet Singh,et al.  A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection , 2019, IEEE Access.

[31]  Vijander Singh,et al.  A novel nature-inspired algorithm for optimization: Squirrel search algorithm , 2019, Swarm Evol. Comput..

[32]  Vijay Kumar,et al.  Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems , 2019, Knowl. Based Syst..

[33]  Erik Cuevas,et al.  From ants to whales: metaheuristics for all tastes , 2019, Artificial Intelligence Review.

[34]  Jilian Zhang,et al.  Feature selection for text classification: A review , 2019, Multimedia Tools and Applications.

[35]  Hossam Faris,et al.  An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems , 2018, Knowl. Based Syst..

[36]  Iyad Abu Doush,et al.  Community detection using intelligent water drops optimisation algorithm , 2017, Int. J. Reason. based Intell. Syst..

[37]  Iyad Abu Doush,et al.  A Binary Classifier Based On Firefly Algorithm , 2017 .

[38]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[39]  Seyedali Mirjalili,et al.  SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..

[40]  Fariborz Jolai,et al.  Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm , 2016, J. Comput. Des. Eng..

[41]  Seyed Mohammad Mirjalili,et al.  Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..

[42]  Iyad Abu Doush,et al.  Underwater Image Enhancement Using Particle Swarm Optimization , 2015, J. Intell. Syst..

[43]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[44]  Amir Hossein Alavi,et al.  Krill herd: A new bio-inspired optimization algorithm , 2012 .

[45]  Xin-She Yang,et al.  Flower Pollination Algorithm for Global Optimization , 2012, UCNC.

[46]  Hamid R. Tizhoosh,et al.  Opposition-Based Learning: A New Scheme for Machine Intelligence , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

[47]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[48]  David H. Wolpert,et al.  Remarks on a recent paper on the "no free lunch" theorems , 2001, IEEE Trans. Evol. Comput..

[49]  G. Di Caro,et al.  Ant colony optimization: a new meta-heuristic , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[50]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[51]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.