Black hole algorithm: A comprehensive survey

[1]  Salah Kamel,et al.  Development and application of slime mould algorithm for optimal economic emission dispatch , 2021, Expert Syst. Appl..

[2]  Di Wu,et al.  A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems , 2021, Comput. Intell. Neurosci..

[3]  Heming Jia,et al.  An Improved Hybrid Aquila Optimizer and Harris Hawks Algorithm for Solving Industrial Engineering Optimization Problems , 2021, Processes.

[4]  Laith Mohammad Abualigah,et al.  Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications , 2021 .

[5]  Songfeng Lu,et al.  Advanced Metaheuristic Techniques for Mechanical Design Problems: Review , 2021, Archives of Computational Methods in Engineering.

[6]  Amir H. Gandomi,et al.  The Arithmetic Optimization Algorithm , 2021, Computer Methods in Applied Mechanics and Engineering.

[7]  Dalia Yousri,et al.  Aquila Optimizer: A novel meta-heuristic optimization algorithm , 2021, Comput. Ind. Eng..

[8]  Shubhendu Kumar Sarangi,et al.  Improved Black Hole optimization algorithm for data clustering , 2020, J. King Saud Univ. Comput. Inf. Sci..

[9]  Ali Diabat,et al.  A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications , 2020, Neural Computing and Applications.

[10]  Sanjoy Das,et al.  Nature-Inspired Optimization Algorithms and Their Application in Multi-Thresholding Image Segmentation , 2019, Archives of Computational Methods in Engineering.

[11]  Pandian Vasant,et al.  A Review of Metaheuristic Algorithms for Optimizing 3D Well-Path Designs , 2020 .

[12]  Ning Wu,et al.  3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm , 2020, Sensors.

[13]  Víctor Yepes,et al.  Black Hole Algorithm for Sustainable Design of Counterfort Retaining Walls , 2020 .

[14]  Wangyong He,et al.  Momentum multi-objective optimization algorithm based on black hole algorithm , 2020, IOP Conference Series: Materials Science and Engineering.

[15]  L. Abualigah Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications , 2020, Neural Computing and Applications.

[16]  Ali Diabat,et al.  A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments , 2020, Cluster Computing.

[17]  Kh. Manglem Singh,et al.  A new hybrid image segmentation approach using clustering and black hole algorithm , 2020, Comput. Intell..

[18]  Mohammad Shehab,et al.  Enhanced a hybrid moth-flame optimization algorithm using new selection schemes , 2020, Engineering with Computers.

[19]  Seyed Morteza Babamir,et al.  Scheduling scientific workflows on virtual machines using a Pareto and hypervolume based black hole optimization algorithm , 2020, The Journal of Supercomputing.

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

[21]  Mohamed Abdel-Basset,et al.  Flower pollination algorithm: a comprehensive review , 2018, Artificial Intelligence Review.

[22]  Z. Shayfull,et al.  Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014–2017) , 2019, Artificial Intelligence Review.

[23]  Mohammad Alshinwan,et al.  Salp swarm algorithm: a comprehensive survey , 2019, Neural Computing and Applications.

[24]  J. S. Wang,et al.  Improved Black Hole Algorithm Based on Golden Sine Operator and Levy Flight Operator , 2019, IEEE Access.

[25]  Ahmad M. Khasawneh,et al.  Moth–flame optimization algorithm: variants and applications , 2019, Neural Computing and Applications.

[26]  Sinan Q. Salih,et al.  An Enhanced Version of Black Hole Algorithm via Levy Flight for Optimization and Data Clustering Problems , 2019, IEEE Access.

[27]  Sushma Jain,et al.  Sandpiper optimization algorithm: a novel approach for solving real-life engineering problems , 2019, Applied Intelligence.

[28]  Farhad Soleimanian Gharehchopogh,et al.  A comprehensive survey on symbiotic organisms search algorithms , 2019, Artificial Intelligence Review.

[29]  Nizamettin Aydin,et al.  Gene selection using hybrid binary black hole algorithm and modified binary particle swarm optimization. , 2019, Genomics.

[30]  Sinan Q. Salih A New Training Method based on Black Hole Algorithm for Convolutional Neural Network , 2019, Journal of Southwest Jiaotong University.

[31]  David P. Woodruff,et al.  The Communication Complexity of Optimization , 2019, SODA.

[32]  Kari Tammi,et al.  Recent Studies on Chicken Swarm Optimization algorithm: a review (2014–2018) , 2019, Artificial Intelligence Review.

[33]  Archana N. Jethava,et al.  Optimizing Multi Objective Based Dynamic Workflow Using ACO and Black Hole Algorithm in Cloud Computing , 2019, 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC).

[34]  Michael Adam Lones,et al.  Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms , 2019, SN Computer Science.

[35]  Laith Mohammad Abualigah,et al.  Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering , 2018, Studies in Computational Intelligence.

[36]  M. Elhoseny,et al.  A-COA: an adaptive cuckoo optimization algorithm for continuous and combinatorial optimization , 2018, Neural Computing and Applications.

[37]  Abdolreza Hatamlou,et al.  Solving travelling salesman problem using black hole algorithm , 2018, Soft Comput..

[38]  Broderick Crawford,et al.  Adaptive Black Hole Algorithm for Solving the Set Covering Problem , 2018, Mathematical Problems in Engineering.

[39]  Laith Mohammad Abualigah,et al.  Modified Krill Herd Algorithm for Global Numerical Optimization Problems , 2018, Advances in Nature-Inspired Computing and Applications.

[40]  S. Mirjalili Genetic Algorithm , 2018, Studies in Computational Intelligence.

[41]  Ricardo Soto,et al.  Using Black Hole Algorithm to Improve EEG-Based Emotion Recognition , 2018, Comput. Intell. Neurosci..

[42]  Douglas Rodrigues,et al.  On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization , 2018, IEEE Transactions on Smart Grid.

[43]  Muhammad Rafi,et al.  Solving document clustering problem through meta heuristic algorithm: black hole , 2018, ICMLSC '18.

[44]  Ab. Aziz Nor Azlina,et al.  A review on fundamental advancements of black hole algorithm , 2018 .

[45]  Abd Aziz Nor Hidayati,et al.  A survey on applications of black hole algorithm , 2018 .

[46]  Nor Hidayati Abdul Aziz,et al.  Black hole white hole algorithm with local search , 2018 .

[47]  Diego Oliva,et al.  An improved Opposition-Based Sine Cosine Algorithm for global optimization , 2017, Expert Syst. Appl..

[48]  Zuwairie Ibrahim,et al.  Improving the Effectiveness of the Black Hole Algorithm Using a Local Search Technique , 2017 .

[49]  Mohammed Azmi Al-Betar,et al.  Gene selection for cancer classification by combining minimum redundancy maximum relevancy and bat-inspired algorithm , 2017, Int. J. Data Min. Bioinform..

[50]  Wei Gao,et al.  Investigating the critical slip surface of soil slope based on an improved black hole algorithm , 2017 .

[51]  Rajkamal Shukla,et al.  Parameter optimization of electrochemical machining process using black hole algorithm , 2017 .

[52]  Yongbo Li,et al.  AMOBH: Adaptive Multiobjective Black Hole Algorithm , 2017, Comput. Intell. Neurosci..

[53]  Fabio L. Traversa,et al.  Evidence of an exponential speed-up in the solution of hard optimization problems , 2017, Complex..

[54]  Namami Krishna Sharma,et al.  Optimal load shedding to improve static voltage stability employing black hole optimization algorithm , 2017, 2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA).

[55]  Laith Mohammad Abualigah,et al.  A new feature selection method to improve the document clustering using particle swarm optimization algorithm , 2017, J. Comput. Sci..

[56]  Béla Illés,et al.  Optimization of In-Plant Production Supply with Black Hole Algorithm , 2017 .

[57]  Lionel Pichon,et al.  Non-destructive diagnosis of wiring networks using time domain reflectometry and an improved black hole algorithm , 2017 .

[58]  Nizamettin Aydin,et al.  Binary black hole algorithm for feature selection and classification on biological data , 2017, Appl. Soft Comput..

[59]  Broderick Crawford,et al.  Online control of enumeration strategies via bat algorithm and black hole optimization , 2017, Natural Computing.

[60]  Laith Mohammad Abualigah,et al.  Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering , 2017, The Journal of Supercomputing.

[61]  Seyed Morteza Babamir,et al.  Optimizing multi objective based workflow scheduling in cloud computing using black hole algorithm , 2017, 2017 3th International Conference on Web Research (ICWR).

[62]  Kalyanmoy Deb,et al.  Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey , 2017, Expert Syst. Appl..

[63]  José García,et al.  A Multi Dynamic Binary Black Hole Algorithm Applied to Set Covering Problem , 2017, ICHSA.

[64]  Jitendra Kumar,et al.  Dynamic resource scaling in cloud using neural network and black hole algorithm , 2016, 2016 Fifth International Conference on Eco-friendly Computing and Communication Systems (ICECCS).

[65]  Arpit Gupta,et al.  How effective is Black Hole Algorithm? , 2016, 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I).

[66]  Wei Gao,et al.  Study on stability of high embankment slope based on black hole algorithm , 2016, Environmental Earth Sciences.

[67]  Wei Gao,et al.  Back analysis for rock model surrounding underground roadways in coal mine based on black hole algorithm , 2016, Engineering with Computers.

[68]  Broderick Crawford,et al.  Evaluation of choice functions to self-adaptive on constraint programming via the black hole algorithm , 2016, 2016 XLII Latin American Computing Conference (CLEI).

[69]  Broderick Crawford,et al.  An binary black hole algorithm to solve the set covering problem , 2016, 2016 11th Iberian Conference on Information Systems and Technologies (CISTI).

[70]  Broderick Crawford,et al.  A Black Hole Algorithm for Solving the Set Covering Problem , 2016, IEA/AIE.

[71]  Ke-yan Liu,et al.  A multi-object black hole gravitational search algorithm for day-ahead reactive optimization in distribution network , 2016, 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC).

[72]  Renu Dhir,et al.  Software Clustering using Hybrid Multi-Objective Black Hole Algorithm , 2016, SEKE.

[73]  Hamed Mojallali,et al.  Modified Black Hole Algorithm with Genetic Operators , 2016, Int. J. Comput. Intell. Syst..

[74]  Broderick Crawford,et al.  The set covering problem solved by the Black Hole Algorithm , 2016, 2016 11th Iberian Conference on Information Systems and Technologies (CISTI).

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

[76]  Seyedali Mirjalili,et al.  Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems , 2015, Neural Computing and Applications.

[77]  Renu Dhir,et al.  Hybrid Black Hole Algorithm for Bi-Criteria Job Scheduling on Parallel Machines , 2016 .

[78]  Snehal P. Dongare,et al.  Optimal Cluster Head Selection Based Energy Efficient Technique for Defending against Gray Hole and Black Hole Attacks in Wireless Sensor Networks , 2016 .

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

[80]  Nizamettin Aydin,et al.  An application of black hole algorithm and decision tree for medical problem , 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

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

[82]  Mohammad-R Akbarzadeh-T,et al.  Chaotic inertia weight in black hole algorithm for function optimization , 2015, 2015 International Congress on Technology, Communication and Knowledge (ICTCK).

[83]  Mohamad Nizam Aliman,et al.  Performance evaluation of black hole algorithm, gravitational search algorithm and particle swarm optimization , 2015 .

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

[85]  Hamed Mojallali,et al.  Image gray-level enhancement using Black Hole algorithm , 2015, 2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA).

[86]  Abdolreza Hatamlou,et al.  Solving optimization problems using black hole algorithm , 2015 .

[87]  Renu Dhir,et al.  Software Architecture Recovery using Genetic Black Hole Algorithm , 2015, SOEN.

[88]  Navid Ghaffarzadeh,et al.  Optimal Coordination of Digital Overcurrent Relays using Black Hole Algorithm - TI Journals , 2015 .

[89]  Zheng Pei,et al.  The Black Hole Clustering Algorithm Based on Membrane Computing , 2015 .

[90]  Yuehui Chen,et al.  A new approach for imbalanced data classification based on data gravitation , 2014, Inf. Sci..

[91]  M. El-Hawary,et al.  Optimal Power Flow by Black Hole Optimization Algorithm , 2014, 2014 IEEE Electrical Power and Energy Conference.

[92]  A. A. Heidari,et al.  A Gravitational Black Hole Algorithm for Autonomous UCAV Mission Planning in 3D Realistic Environments , 2014 .

[93]  A. A. Heidari,et al.  Improved Black Hole Algorithm for Efficient Low Observable UCAV Path Planning in Constrained Aerospace , 2014 .

[94]  Omid Sojodishijani,et al.  A new hybrid algorithm based on black hole optimization and bisecting k-means for cluster analysis , 2014, 2014 22nd Iranian Conference on Electrical Engineering (ICEE).

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

[96]  Taher Niknam,et al.  Short-term scheduling of thermal power systems using hybrid gradient based modified teaching–learning optimizer with black hole algorithm , 2014 .

[97]  A. Gandomi,et al.  Bat algorithm for constrained optimization tasks , 2013, Neural Computing and Applications.

[98]  Abdolreza Hatamlou,et al.  Black hole: A new heuristic optimization approach for data clustering , 2013, Inf. Sci..

[99]  Sebastián Ventura,et al.  Weighted Data Gravitation Classification for Standard and Imbalanced Data , 2013, IEEE Transactions on Cybernetics.

[100]  A. Kaveh,et al.  A new meta-heuristic method: Ray Optimization , 2012 .

[101]  P. N. Suganthan,et al.  Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.

[102]  Yong Wang,et al.  Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization , 2010, Appl. Soft Comput..

[103]  Dervis Karaboga,et al.  A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..

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

[105]  Bo Yang,et al.  Data gravitation based classification , 2009, Inf. Sci..

[106]  Carlos A. Coello Coello,et al.  An empirical study about the usefulness of evolution strategies to solve constrained optimization problems , 2008, Int. J. Gen. Syst..

[107]  M. Fesanghary,et al.  An improved harmony search algorithm for solving optimization problems , 2007, Appl. Math. Comput..

[108]  Ling Wang,et al.  A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization , 2007, Appl. Math. Comput..

[109]  Ling Wang,et al.  An effective co-evolutionary differential evolution for constrained optimization , 2007, Appl. Math. Comput..

[110]  Ling Wang,et al.  An effective co-evolutionary particle swarm optimization for constrained engineering design problems , 2007, Eng. Appl. Artif. Intell..

[111]  K. Lee,et al.  A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice , 2005 .

[112]  Hans-Paul Schwefel,et al.  Evolution strategies – A comprehensive introduction , 2002, Natural Computing.

[113]  Carlos A. Coello Coello,et al.  Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .

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

[115]  Darrell Whitley,et al.  A genetic algorithm tutorial , 1994, Statistics and Computing.

[116]  E. Sandgren,et al.  Nonlinear Integer and Discrete Programming in Mechanical Design Optimization , 1990 .

[117]  Ashok Dhondu Belegundu,et al.  A Study of Mathematical Programming Methods for Structural Optimization , 1985 .

[118]  M. W. Guo,et al.  Extreme Learning Machine Soft-Sensor Model With Different Activation Functions on Grinding Process Optimized by Improved Black Hole Algorithm , 2020, IEEE Access.

[119]  Shankho Subhra Pal,et al.  Black Hole and k-Means Hybrid Clustering Algorithm , 2019, Advances in Intelligent Systems and Computing.

[120]  E. Abbasi,et al.  Portfolio Optimization Using Black Hole Meta Heuristic Algorithm , 2019 .

[121]  Sungkono,et al.  Black hole algorithm for determining model parameter in self-potential data , 2018 .

[122]  F. Ebadifard Optimal Workflow Scheduling In Cloud Computing Using AHP Based Multi Objective Black Hole Algorithm , 2018 .

[123]  Ágota Bányai,et al.  Optimization of Consignment-Store-Based Supply Chain with Black Hole Algorithm , 2017, Complex..

[124]  Sameer Sharma,et al.  Two-Machine Fuzzy Flow Shop Scheduling Using Black Hole Algorithm , 2017 .

[125]  Anita Schöbel,et al.  Robustness for uncertain multi-objective optimization: a survey and analysis of different concepts , 2016, OR Spectr..

[126]  Shahnorbanun Sahran,et al.  The variants of the Bees Algorithm (BA): a survey , 2016, Artificial Intelligence Review.

[127]  Mohammed Suad Khairi,et al.  White Hole-Black Hole Algorithm , 2016 .

[128]  Mohammed Suad Khairi,et al.  A New Hybrid Gravitational Search- Black Hole Algorithm , 2016 .

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

[130]  Sanjay Kumar Singh,et al.  Black Hole Algorithm and Its Applications , 2015, Computational Intelligence Applications in Modeling and Control.

[131]  A. Hatamlou,et al.  Optimization of Energy Consumption in Clustered Nodes of WSN Using the Black Hole Algorithm , 2015 .

[132]  João Paulo Papa,et al.  Black Hole Algorithm for non-technical losses characterization , 2015, 2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS).

[133]  Kenneth V. Price,et al.  Differential Evolution: A Practical Approach to Global Optimization , 2014 .

[134]  Ji-Pyng Chiou,et al.  Parameters tuning of power system stabilizers using improved ant direction hybrid differential evolution , 2009 .

[135]  Ying-Tung Hsiao Multiobjective evolution programming method for feeder reconfiguration , 2004, IEEE Transactions on Power Systems.

[136]  Tom V. Mathew Genetic Algorithm , 2022 .