GWO: a review and applications

From the solitudinarian era to the present, the human race has been striving towards the betterment of his life by trying to find out the hidden secrets of our nature. Some time back one would hardly think that colonies of ant, pack of grey wolves, and elephants would be used to design an optimization algorithm. One of the optimization techniques called Grey Wolf Optimization (GWO) algorithm is motivated by the socio-hierarchical behaviour of the animal named Canis Lupus (Grey Wolf). In this paper, the detailed description of GWO is presented along with different development in standard GWO and its applications. Precisely, this article presents a state of the art review of the GWO algorithm, its progress, and applications in more complex real-world problem-solving.

[1]  Binod Kumar Sahu,et al.  Application of Hybrid Differential Evolution–Grey Wolf Optimization Algorithm for Automatic Generation Control of a Multi-Source Interconnected Power System Using Optimal Fuzzy–PID Controller , 2017 .

[2]  Zhiming Li,et al.  A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm , 2015, Algorithms.

[3]  Kiran Teeparthi,et al.  Grey wolf optimization algorithm based dynamic security constrained optimal power flow , 2016, 2016 National Power Systems Conference (NPSC).

[4]  T. Jayabarathi,et al.  Economic dispatch using hybrid grey wolf optimizer , 2016 .

[5]  Aboul Ella Hassanien,et al.  Binary grey wolf optimization approaches for feature selection , 2016, Neurocomputing.

[6]  Akash Saxena,et al.  Grey wolf optimizer based regulator design for automatic generation control of interconnected power system , 2016 .

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

[8]  Himani Joshi,et al.  Enhanced grey wolf optimisation algorithm for constrained optimisation problems , 2017 .

[9]  Seyed Mohammad Mirjalili,et al.  Multi-Verse Optimizer: a nature-inspired algorithm for global optimization , 2015, Neural Computing and Applications.

[10]  R. Manimegalai,et al.  Gene Selection from Microarray Data Using Binary Grey Wolf Algorithm for Classifying Acute Leukemia , 2016 .

[11]  Ming Xu,et al.  A Novel Grey Wolf Optimizer Algorithm With Refraction Learning , 2019, IEEE Access.

[12]  Mangey Ram,et al.  A modified particle swarm optimization algorithm for nonlinear optimization , 2017 .

[13]  Hossein Ebrahimpour,et al.  Applying Grey Wolf Optimizer-based decision tree classifer for cancer classification on gene expression data , 2015, 2015 5th International Conference on Computer and Knowledge Engineering (ICCKE).

[14]  Neeraj Kumar Singh,et al.  A novel hybrid GWO-SCA approach for optimization problems , 2017 .

[15]  Mangey Ram,et al.  System Reliability Optimization Using Gray Wolf Optimizer Algorithm , 2017, Qual. Reliab. Eng. Int..

[16]  Ajith Abraham,et al.  Plant species identification using leaf biometrics and swarm optimization: A hybrid PSO, GWO, SVM model , 2018, Int. J. Hybrid Intell. Syst..

[17]  Anuj Kumar,et al.  Availability and cost analysis of an engineering system involving subsystems in series configuration , 2017 .

[18]  Juan Zhao,et al.  An Improved Grey Wolf Optimization Algorithm with Variable Weights , 2019, Comput. Intell. Neurosci..

[19]  Nostrand Reinhold,et al.  the utility of using the genetic algorithm approach on the problem of Davis, L. (1991), Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York. , 1991 .

[20]  Ritu Tiwari,et al.  Odor Source Localization by Concatenating Particle Swarm Optimization and Grey Wolf Optimizer , 2018 .

[21]  Jianjun Jiao,et al.  An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization , 2018, Eng. Appl. Artif. Intell..

[22]  Mangey Ram,et al.  Reliability Optimization: A Particle Swarm Approach , 2017 .

[23]  Hongsheng Yin,et al.  An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing , 2018, Comput. Intell. Neurosci..

[24]  Aboul Ella Hassanien,et al.  Grey Wolves Optimizer-based localization approach in WSNs , 2015, 2015 11th International Computer Engineering Conference (ICENCO).

[25]  Eid Emary,et al.  A Hybrid Grey Wolf-Bat Algorithm for Global Optimization , 2018, AMLTA.

[26]  S. B. Singh,et al.  Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance , 2017, J. Appl. Math..

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

[28]  Pradeep Jangir,et al.  A new Non-Dominated Sorting Grey Wolf Optimizer (NS-GWO) algorithm: Development and application to solve engineering designs and economic constrained emission dispatch problem with integration of wind power , 2018, Eng. Appl. Artif. Intell..

[29]  D. Shalini Punithavathani,et al.  Optimized ensemble decision-based multi-focus imagefusion using binary genetic Grey-Wolf optimizer in camera sensor networks , 2016, Multimedia Tools and Applications.

[30]  Xin-She Yang,et al.  Firefly Algorithms for Multimodal Optimization , 2009, SAGA.

[31]  Hamza Turabieh.  A Hybrid ANN-GWO Algorithm for Prediction of Heart Disease , 2016 .

[32]  Mohd Fadzil Faisae Ab Rashid,et al.  A hybrid Ant-Wolf Algorithm to optimize assembly sequence planning problem , 2017 .

[33]  Urvinder Singh,et al.  Modified Grey Wolf Optimizer for Global Engineering Optimization , 2016, Appl. Comput. Intell. Soft Comput..

[34]  Hossam Faris,et al.  Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach , 2019, Knowledge and Information Systems.

[35]  Mohd Herwan Sulaiman,et al.  Training LSSVM with GWO for price forecasting , 2015, 2015 International Conference on Informatics, Electronics & Vision (ICIEV).

[36]  Anil K. Jain,et al.  Artificial Neural Networks: A Tutorial , 1996, Computer.

[37]  Ken Sharman,et al.  Maximum likelihood parameter estimation by simulated annealing , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[38]  Lawrence. Davis,et al.  Handbook Of Genetic Algorithms , 1990 .

[39]  Jian Guo,et al.  Fuzzy Multilevel Image Thresholding Based on Modified Discrete Grey Wolf Optimizer and Local Information Aggregation , 2016, IEEE Access.

[40]  Aboul Ella Hassanien,et al.  Multi-Objective Gray-Wolf Optimization for Attribute Reduction , 2015 .

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

[42]  Andries Petrus Engelbrecht,et al.  Fundamentals of Computational Swarm Intelligence , 2005 .

[43]  L. Korayem,et al.  Using Grey Wolf Algorithm to Solve the Capacitated Vehicle Routing Problem , 2015 .

[44]  Mangey Ram,et al.  Gray wolf optimizer approach to the reliability-cost optimization of residual heat removal system of a nuclear power plant safety system , 2019, Qual. Reliab. Eng. Int..

[45]  Wei Pan,et al.  Grey wolf optimizer for unmanned combat aerial vehicle path planning , 2016, Adv. Eng. Softw..

[46]  Mohammad Reza Mosavi,et al.  Classification of sonar data set using neural network trained by Gray Wolf Optimization , 2016 .

[47]  Chao Lu,et al.  A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry , 2017, Eng. Appl. Artif. Intell..

[48]  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.

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

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

[51]  Mangey Ram,et al.  Multi-objective grey wolf optimizer approach to the reliability-cost optimization of life support system in space capsule , 2019, Int. J. Syst. Assur. Eng. Manag..

[52]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..