Skip to main content

Advertisement

Springer Nature Link
Log in

Advances in Sparrow Search Algorithm: A Comprehensive Survey

  • Survey article
  • Published:
Archives of Computational Methods in Engineering Aims and scope Submit manuscript

Abstract

Mathematical programming and meta-heuristics are two types of optimization methods. Meta-heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural behaviours or occurrences and provide benefits such as simplicity of execution, a few parameters, avoidance of local optimization, and flexibility. Many meta-heuristic algorithms have been introduced to solve optimization issues, each of which has advantages and disadvantages. Studies and research on presented meta-heuristic algorithms in prestigious journals showed they had good performance in solving hybrid, improved and mutated problems. This paper reviews the sparrow search algorithm (SSA), one of the new and robust algorithms for solving optimization problems. This paper covers all the SSA literature on variants, improvement, hybridization, and optimization. According to studies, the use of SSA in the mentioned areas has been equal to 32%, 36%, 4%, and 28%, respectively. The highest percentage belongs to Improved, which has been analyzed by three subsections: Meat-Heuristics, artificial neural networks, and Deep Learning.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Gharehchopogh FS (2022) An improved tunicate swarm algorithm with best-random mutation strategy for global optimization problems. J Bion Eng 19:1177

    Article  Google Scholar 

  2. Zamani H, Nadimi-Shahraki MH, Gandomi AH (2021) QANA: quantum-based avian navigation optimizer algorithm. Eng Appl Artif Intell 104:104314

    Article  Google Scholar 

  3. Gharehchopogh FS, Gholizadeh H (2019) A comprehensive survey: whale optimization algorithm and its applications. Swarm Evol Comput 48:1–24

    Article  Google Scholar 

  4. Nadimi-Shahraki MH, Taghian S, Mirjalili S, Zamani H, Bahreininejad A (2022) GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems. J Comput Sci 61:101636

    Article  Google Scholar 

  5. Gharehchopogh FS, Shayanfar H, Gholizadeh H (2020) A comprehensive survey on symbiotic organisms search algorithms. Artif Intell Rev 53(3):2265–2312

    Article  Google Scholar 

  6. Ghafori S, Gharehchopogh FS (2021) Advances in spotted hyena optimizer: a comprehensive survey. Arch Comput Methods Eng 29:1569

    Article  Google Scholar 

  7. Nadimi-Shahraki MH, Fatahi A, Zamani H, Mirjalili S, Oliva D (2022) Hybridizing of whale and moth-flame optimization algorithms to solve diverse scales of optimal power flow problem. Electronics 11(5):831

    Article  Google Scholar 

  8. Nadimi-Shahraki MH, Zamani H (2022) DMDE: diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization. Expert Syst Appl 198:116895

    Article  Google Scholar 

  9. Gharehchopogh FS (2022) Advances in tree seed algorithm: a comprehensive survey. Arch Comput Methods Eng 29:3281

    Article  MathSciNet  Google Scholar 

  10. Banaie-Dezfouli M, Nadimi-Shahraki MH, Beheshti Z (2021) R-GWO: representative-based grey wolf optimizer for solving engineering problems. Appl Soft Comput 106:107328

    Article  Google Scholar 

  11. Goldanloo MJ, Gharehchopogh FS (2022) A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems. J Supercomput 78(3):3998–4031

    Article  Google Scholar 

  12. Samadi Bonab M, Ghaffari A, Soleimanian Gharehchopogh F, Alemi P (2020) A wrapper-based feature selection for improving performance of intrusion detection systems. Int J Commun Syst 33(12):e4434

    Article  Google Scholar 

  13. Nadimi-Shahraki MH, Taghian S, Mirjalili S, Faris H (2020) MTDE: an effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems. Appl Soft Comput 97:106761

    Article  Google Scholar 

  14. Shayanfar H, Gharehchopogh FS (2018) Farmland fertility: a new metaheuristic algorithm for solving continuous optimization problems. Appl Soft Comput 71:728–746

    Article  Google Scholar 

  15. Abdollahzadeh B, Gharehchopogh FS, Mirjalili S (2021) African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems. Comput Ind Eng 158:107408

    Article  Google Scholar 

  16. Zamani H, Nadimi-Shahraki MH, Gandomi AH (2022) Starling murmuration optimizer: a novel bio-inspired algorithm for global and engineering optimization. Comput Methods Appl Mech Eng 392:114616

    Article  MathSciNet  MATH  Google Scholar 

  17. Xue J, Shen B (2020) A novel swarm intelligence optimization approach: sparrow search algorithm. Syst Sci Control Eng 8(1):22–34

    Article  Google Scholar 

  18. Abdollahzadeh B, Soleimanian Gharehchopogh F, Mirjalili S (2021) Artificial gorilla troops optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems. Int J Intell Syst 36(10):5887–5958

    Article  Google Scholar 

  19. Wang Z (2022) A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning. Res Sq. https://doi.org/10.21203/rs.3.rs-1375515/v1

    Article  Google Scholar 

  20. Li H, Zhang B, Li J, Zheng T, Yang H (2021) using sparrow search hunting mechanism to improve water wave algorithm. In: 2021 IEEE International Conference on Progress in Informatics and Computing (PIC)

  21. Yang L, Li Z, Wang D, Miao H, Wang Z (2021) Software defects prediction based on hybrid particle swarm optimization and sparrow search algorithm. IEEE Access 9:60865–60879

    Article  Google Scholar 

  22. Zhang J, Xia K, He Z, Yin Z, Wang S (2021) Semi-supervised ensemble classifier with improved sparrow search algorithm and its application in pulmonary nodule detection. Math Probl Eng 2021:6622935

    MathSciNet  Google Scholar 

  23. Shi L, Ding X, Li M, Liu Y (2021) Research on the capability maturity evaluation of intelligent manufacturing based on firefly algorithm, sparrow search algorithm, and BP neural network. Complexity 2021:5554215

    Article  Google Scholar 

  24. Liu B, Rodriguez D (2021) Renewable energy systems optimization by a new multi-objective optimization technique: a residential building. J Build Eng 35:102094

    Article  Google Scholar 

  25. Kathiroli P, Selvadurai K (2021) Energy efficient cluster head selection using improved Sparrow Search Algorithm in Wireless Sensor Networks. J King Saud Univ Comput Inf Sci. https://doi.org/10.1016/j.jksuci.2021.08.031

    Article  Google Scholar 

  26. Huang S, Huang H (2021) A novel whale optimization algorithm with sparrow algorithm and golden sine leading strategy. In: 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)

  27. Wu C, Fu X, Pei J, Dong Z (2021) A novel sparrow search algorithm for the traveling salesman problem. IEEE Access 9:153456–153471

    Article  Google Scholar 

  28. Yu W, Liu J, Zhou J (2021) A novel sparrow particle swarm algorithm (SPSA) for unmanned aerial vehicle path planning. Sci Program 2021:5158304

    Google Scholar 

  29. Henderson N, Rego M, Sacco WR Jr (2015) A new look at the topographical global optimization method and its application to the phase stability analysis of mixtures. Chem Eng Sci 127:151

    Article  Google Scholar 

  30. Hu C, Liu G, Li M (2021) A network security situation prediction method based on SA-SSA. In: 2021 14th International Symposium on Computational Intelligence and Design (ISCID)

  31. Kumaravel S, Ponnusamy V (2020) An efficient hybrid technique for power flow management in smart grid with renewable energy resources. Energy Sourc Part A Recov Utiliz Environ Effects. https://doi.org/10.1080/15567036.2020.1855274

    Article  Google Scholar 

  32. Li X, Gu J, Sun X, Li J, Tang S (2022) Parameter identification of robot manipulators with unknown payloads using an improved chaotic sparrow search algorithm. Appl Intell 52:10341

    Article  Google Scholar 

  33. He D, Liu C, Jin Z, Ma R, Chen Y, Shan S (2022) Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning. Energy 239:122108

    Article  Google Scholar 

  34. Wang Z, Huang X, Zhu D (2022) A Multistrategy-integrated learning sparrow search algorithm and optimization of engineering problems. Comput Intell Neurosci 2022:2475460

    Google Scholar 

  35. Wang W, Liu F, Wang W, Cheng M (2021) The chaotic time series prediction method based on sparrow search algorithm optimization. In: 2021 2nd International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)

  36. Ji F, Song Z, Yang S, Bai X, Yuan X (2021) Scheduling strategy of regional integrated energy system based on improved sparrow search algorithm. In: 2021 China Automation Congress (CAC)

  37. Wang P, Zhang Y, Yang H (2021) Research on economic optimization of microgrid cluster based on chaos sparrow search algorithm. Comput Intell Neurosci 2021:5556780

    Google Scholar 

  38. Xu Y (2021) Optimization of BP artificial neural network regression prediction model based on Improved Sparrow search algorithm with Sine chaotic mapping and its application. In: 2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)

  39. Zheng Y, Liu F (2021) Optimal dispatch strategy of microgrid energy storage based on improved sparrow search algorithm. In: 2021 40th Chinese Control Conference (CCC)

  40. Li H, Su J, Liu W, Zhang Y, Zhou X (2021) Indoor positioning model based on support vector regression optimized by the sparrow search algorithm. In: 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

  41. Ma B, Lu P, Zhang L, Liu Y, Zhou Q, Chen Y, Qi Q, Hu Y (2021) Enhanced sparrow search algorithm with mutation strategy for global optimization. IEEE Access 9:159218–159261

    Article  Google Scholar 

  42. Yang Y, Liu J, Wang Q, Yang S (2021) Dynamic path planning for AGV based on Tent chaotic sparrow search algorithm. In: 2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)

  43. Chengtian O, Yujia L, Donglin Z (2021) An adaptive chaotic sparrow search optimization algorithm. In: 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)

  44. Zheng L, Cui J (2021) A novel chaos sparrow search algorithm for TSP problem. In: 2021 17th International Conference on Computational Intelligence and Security (CIS)

  45. Jianhua L, Zhiheng W (2021) A hybrid sparrow search algorithm based on constructing similarity. IEEE Access 9:117581–117595

    Article  Google Scholar 

  46. Zhang C, Ding S (2021) A stochastic configuration network based on chaotic sparrow search algorithm. Knowl-Based Syst 220:106924

    Article  Google Scholar 

  47. Liang Q, Chen B, Wu H, Ma C, Li S (2021) A novel modified sparrow search algorithm with application in side lobe level reduction of linear antenna array. Wirel Commun Mob Comput 2021:9915420

    Article  Google Scholar 

  48. Yang X, Liu J, Liu Y, Xu P, Yu L, Zhu L, Chen H, Deng W (2021) A novel adaptive sparrow search algorithm based on chaotic mapping and T-distribution mutation. Appl Sci 11(23):11192

    Article  Google Scholar 

  49. Tang Y, Li C, Li S, Cao B, Chen C (2021) A fusion crossover mutation sparrow search algorithm. Math Probl Eng 2021:9952606

    Article  Google Scholar 

  50. Song W, Liu S, Wang X, Wu W (2020) An Improved Sparrow Search Algorithm. In: 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)

  51. Liu G, Shu C, Liang Z, Peng B, Cheng L (2021) A modified sparrow search algorithm with application in 3d route planning for UAV. Sensors (Basel) 21(4):1224

    Article  Google Scholar 

  52. Wang Z, Liu Y, Song R (2021) A crack image segmentation algorithm based on adaptive T-distribution. In: 2021 China Automation Congress (CAC)

  53. Xia L, Gao J, Liao Q, Yue X, Xiang H, Wu X, Tan X (2021) Coordinated dispatch of combined heat and power microgrid based on the improved sparrow search algorithm. In: 2021 11th International Conference on Power and Energy Systems (ICPES)

  54. Li J, Lei Y, Yang S (2022) Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm. Energy Rep 8:491–497

    Article  Google Scholar 

  55. Jiang Z, Hu W, Qin H (2021) WSN node localization based on improved sparrow search algorithm optimization. In: International Conference on Sensors and Instruments (ICSI 2021). SPIE, pp 1–8

  56. Wenzhi S, Zhang H, Tseng M-L, Weipeng Z, Xinyang L (2022) Hierarchical energy optimization management of active distribution network with multi-microgrid system. J Ind Prod Eng 39(3):210–229

    Google Scholar 

  57. Chen DZ, Zhao JD, Huang P, Deng X, Lu T (2021) An improved sparrow search algorithm based on levy flight and opposition-based learning. Assembly Autom 41(6):697–713

    Article  Google Scholar 

  58. Chen H, Ma X, Huang S (2021) A feature selection method for intrusion detection based on parallel sparrow search algorithm. In: 2021 16th International Conference on Computer Science & Education (ICCSE)

  59. Lei Y, De G, Fei L (2020) Improved sparrow search algorithm based DV-Hop localization in WSN. In: 2020 Chinese Automation Congress (CAC)

  60. Jia J, Yuan S, Shi Y, Wen J, Pang X, Zeng J (2022) Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction. iScience 25(4):103988

    Article  Google Scholar 

  61. Fang Q, Shen B, Xue J (2022) A new elite opposite sparrow search algorithm-based optimized LightGBM approach for fault diagnosis. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-022-03703-5

    Article  Google Scholar 

  62. Li F, Lin Y, Zou L, Zhong L (2021) Improved sparrow search algorithm applied to path planning of mobile robot. In: 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI)

  63. Yuan J, Zhao Z, Liu Y, He B, Wang L, Xie B, Gao Y (2021) DMPPT control of photovoltaic microgrid based on improved sparrow search algorithm. IEEE Access 9:16623–16629

    Article  Google Scholar 

  64. Zhang G, Zhang E (2021) A random opposition-based sparrow search algorithm for Path Planning Problem. In: Artificial Intelligence: First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5–6, 2021, Proceedings, Part II. Springer, Hangzhou, pp 408–418

  65. Ouyang C, Zhu D, Wang F (2021) A learning sparrow search algorithm. Comput Intell Neurosci 2021:3946958

    Article  Google Scholar 

  66. Chang Z, Gu Q, Lu C, Zhang Y, Ruan S, Jiang S (2021) 5G private network deployment optimization based on RWSSA in open-pit mine. IEEE Trans Ind Inform 18:5466

    Article  Google Scholar 

  67. Ma Y, Guan Q, Guo F, Zhang G (2021) Malicious URL classification model based on improved sparrow search algorithm. In: 2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC)

  68. Zhu Y, Yousefi N (2021) Optimal parameter identification of PEMFC stacks using Adaptive Sparrow Search Algorithm. Int J Hydrog Energy 46(14):9541–9552

    Article  Google Scholar 

  69. Li Z, Luo X, Liu M, Cao X, Du S, Sun H (2022) Wind power prediction based on EEMD-Tent-SSA-LS-SVM. Energy Rep 8:3234–3243

    Article  Google Scholar 

  70. Man Y, Guangwu C, Zongshou W (2021) TDOA positioning method based on mixed strategy sparrow search algorithm. In 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)

  71. Yang H, Liu X, Song K (2022) A novel gradient boosting regression tree technique optimized by improved sparrow search algorithm for predicting TBM penetration rate. Arab J Geosci 15(6):461

    Article  Google Scholar 

  72. Zhang Z, He R, Yang K (2022) A bioinspired path planning approach for mobile robots based on improved sparrow search algorithm. Adv Manuf 10(1):114–130

    Article  Google Scholar 

  73. Quan L, Li A, Cui G, Xie S (2021) Using enhanced sparrow search algorithm-deep extreme learning machine model to forecast end-point phosphorus content of BOF. Ind Manuf Eng 2021(1):1–22

    Google Scholar 

  74. Chen Q, Wang W, Wang H (2021) Optimal reactive power dispatch and distributed generation placement based on a hybrid co-evolution algorithm and bi-level programming. Int Trans Electr Energy Syst 31(12):e13246

    Article  Google Scholar 

  75. Liu Q, Zhang Y, Li M, Zhang Z, Cao N, Shang J (2021) Multi-UAV path planning based on fusion of sparrow search algorithm and improved bioinspired neural network. IEEE Access 9:124670–124681

    Article  Google Scholar 

  76. Ouyang C, Zhu D, Qiu Y (2021) Lens learning sparrow search algorithm. Math Probl Eng 2021:9935090

    Article  Google Scholar 

  77. Yan S, Yang P, Zhu D, Zheng W, Wu F (2021) Improved sparrow search algorithm based on iterative local search. Comput Intell Neurosci 2021:6860503

    Article  Google Scholar 

  78. Tian H, Wang K, Yu B, Song C, Jermsittiparsert K (2021) Hybrid improved Sparrow Search Algorithm and sequential quadratic programming for solving the cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system. Energy Sourc Part A Recov Utiliz Environ Effects. https://doi.org/10.1080/15567036.2021.1905111

    Article  Google Scholar 

  79. Yan A, Guo Y (2021) Feature weight optimization method based on t-memetic algorithm. In 2021 40th Chinese Control Conference (CCC)

  80. Ma J, Hao Z, Sun W (2022) Enhancing sparrow search algorithm via multi-strategies for continuous optimization problems. Inf Process Manage 59(2):102854

    Article  Google Scholar 

  81. Ouyang C, Qiu Y, Zhu D (2021) Adaptive spiral flying sparrow search algorithm. Sci Program 2021:6505253

    Google Scholar 

  82. Liang Q, Chen B, Wu H, Han M (2021) A novel modified sparrow search algorithm based on adaptive weight and improved boundary constraints. In: 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)

  83. Song C, Yao L, Hua C, Ni Q (2021) A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China. Environ Monit Assess 193(6):363

    Article  Google Scholar 

  84. Jiang S, Wang D, Xing X (2022) Temperature compensation of an Eddy-current displacement sensor using an improved sparrow search algorithm method. J Sens 2022:6021182

    Article  Google Scholar 

  85. Hu Y, Li K, Zhang B, Han B (2022) Strength investigation of the cemented paste backfill in alpine regions using lab experiments and machine learning. Constr Build Mater 323:126583

    Article  Google Scholar 

  86. Chen Y, Duan W, Yang Y, Liu Z, Zhang Y, Liu J, Li S (2022) Rapid in measurements of brown tide algae cell concentrations using fluorescence spectrometry and generalized regression neural network. Spectrochim Acta Part A Mol Biomol Spectrosc 272:120967

    Article  Google Scholar 

  87. Ding H, Pan H, Bai H, Zheng X, Chen J, Zhang W (2022) Driving strategy of connected and autonomous vehicles based on multiple preceding vehicles state estimation in mixed vehicular traffic. Physica A 596:127154

    Article  MATH  Google Scholar 

  88. Xin J, Chen J, Li C, Lu R-k, Li X, Wang C, Zhu H, He R (2022) Deformation characterization of oil and gas pipeline by ACM technique based on SSA-BP neural network model. Measurement 189:110654

    Article  Google Scholar 

  89. Jiang H, Wang J, Mao W, Chen Q (2022) Determination of aflatoxin B1 in wheat based on colourimetric sensor array technology: optimization of sensor features and model parameters to improve the model generalization performance. Microchem J 175:107173

    Article  Google Scholar 

  90. Ji Z, Niu D, Li M, Li W, Sun L, Zhu Y (2022) A three-stage framework for vertical carbon price interval forecast based on decomposition–integration method. Appl Soft Comput 116:108204

    Article  Google Scholar 

  91. Zhang H, Peng Z, Tang J, Dong M, Wang K, Li W (2022) A multi-layer extreme learning machine refined by sparrow search algorithm and weighted mean filter for short-term multi-step wind speed forecasting. Sustain Energy Technol Assess 50:101698

    Google Scholar 

  92. Wang X, Liu J, Hou T, Pan C (2021) The SSA-BP-based potential threat prediction for aerial target considering commander emotion. Defence Technol. https://doi.org/10.1016/j.dt.2021.05.017

    Article  Google Scholar 

  93. Chen J, Zhang N, Liu G, Li J, Qiao Y (2021) Short-term PV power forecasting based on time-phased and error correction. In: 2021 6th International Conference on Power and Renewable Energy (ICPRE)

  94. Yan P, Shang S, Zhang C, Yin N, Zhang X, Yang G, Zhang Z, Sun Q (2021) Research on the processing of coal mine water source data by optimizing BP neural network algorithm with sparrow search algorithm. IEEE Access 9:108718–108730

    Article  Google Scholar 

  95. Liu B, Ye S (2021) Research on seasonal PM 2.5 predication in hangzhou city based on SSA-ELM Model. In: 2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)

  96. Zhang R, Pan Z, Yin Y (2021) Research on assessment algorithm for network security situation based on SSA-BP neural network. In: 2021 7th International Symposium on System and Software Reliability (ISSSR)

  97. Zhang S, Zhang J, Wang Z, Li Q (2021) Regression prediction of material grinding particle size based on improved sparrow search algorithm to optimize BP neural network. In: 2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)

  98. Jin C, Chen L, Ma H, Xue X, Mei S (2021) Intelligent fault diagnosis approach for PV arrays based on sparrow search algorithm optimized Kernel extreme learning machine. In: 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)

  99. Xie S, Li L (2021) Improvement and application of deep belief network based on sparrow search algorithm. In: 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)

  100. Wang H, Wu X, Gholinia F (2021) Forecasting hydropower generation by GFDL-CM3 climate model and hybrid hydrological-Elman neural network model based on Improved Sparrow Search Algorithm (ISSA). Concurr Comput Pract Exp 33(24):e6476

    Article  Google Scholar 

  101. Song C, Yao L, Hua C, Ni Q (2021) Comprehensive water quality evaluation based on kernel extreme learning machine optimized with the sparrow search algorithm in Luoyang River Basin, China. Environ Earth Sci 80(16):521

    Article  Google Scholar 

  102. Li G, Hu T, Bai D (2021) BP neural network improved by sparrow search algorithm in predicting debonding strain of FRP-strengthened RC beams. Adv Civil Eng 2021:9979028

    Google Scholar 

  103. Wu Z, Wang B (2021) An ensemble neural network based on variational mode decomposition and an improved sparrow search algorithm for wind and solar power forecasting. IEEE Access 9:166709–166719

    Article  Google Scholar 

  104. Zhao Y, Pan D, Xu Z, Wang S, Li J, Xu L (2021) An artificial neural network optimized by sparrow search algorithm for predicting the boiling point temperature of working fluid. In: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)

  105. Wang Y, Tuo J (2020) Blood glucose prediction based on empirical mode decomposition and SSA-KELM. In: 2020 Chinese Automation Congress (CAC)

  106. Wu H, Zhang A, Han Y, Nan J, Li K (2022) Fast stochastic configuration network based on an improved sparrow search algorithm for fire flame recognition. Knowl-Based Syst 245:108626

    Article  Google Scholar 

  107. Li X, Ma X, Xiao F, Xiao C, Wang F, Zhang S (2022) Time-series production forecasting method based on the integration of Bidirectional Gated Recurrent Unit (Bi-GRU) network and Sparrow Search Algorithm (SSA). J Petrol Sci Eng 208:109309

    Article  Google Scholar 

  108. Chen G, Tang B, Zeng X, Zhou P, Kang P, Long H (2022) Short-term wind speed forecasting based on long short-term memory and improved BP neural network. Int J Electr Power Energy Syst 134:107365

    Article  Google Scholar 

  109. Pan Z, Lu W, Wang H, Bai Y (2022) Recognition of a linear source contamination based on a mixed-integer stacked chaos gate recurrent unit neural network–hybrid sparrow search algorithm. Environ Sci Pollut Res 29:33528

    Article  Google Scholar 

  110. Baghdadi NA, Malki A, Abdelaliem SF, Magdy Balaha H, Badawy M, Elhosseini M (2022) An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network. Comput Biol Med 144:105383

    Article  Google Scholar 

  111. Jia P, Zhang H, Liu X, Gong X (2021) Short-term photovoltaic power forecasting based on VMD and ISSA-GRU. IEEE Access 9:105939–105950

    Article  Google Scholar 

  112. Chen G, Shan J, Li DY, Wang C, Li C, Zhou Z, Wang X, Li Z, Hao JJ (2019) Research on wind power prediction method based on convolutional neural network and genetic algorithm. In: 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

  113. Liu T, Yuan Z, Wu L, Badami B (2021) Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm. Int J Imaging Syst Technol 31(4):1921–1935

    Article  Google Scholar 

  114. Vaiyapuri T, Lydia EL, Sikkandar MY, Díaz VG, Pustokhina IV, Pustokhin DA (2021) Internet of things and deep learning enabled elderly fall detection model for smart homecare. IEEE Access 9:113879–113888

    Article  Google Scholar 

  115. Chen Z, Peng D, Li J, Wang D, Zhao H, Xu C (2021) Electric vehicle load forecast based on TA-SSA-LSTM. In: 2021 IEEE 3rd International Conference on Power Data Science (ICPDS)

  116. Liu T, Yuan Z, Wu L, Badami B (2021) An optimal brain tumor detection by convolutional neural network and enhanced sparrow search algorithm. Proc Inst Mech Eng H 235(4):459–469

    Article  Google Scholar 

  117. Song C, Yao L, Hua C, Ni Q (2021) A novel hybrid model for water quality prediction based on synchrosqueezed wavelet transform technique and improved long short-term memory. J Hydrol 603:126879

    Article  Google Scholar 

  118. Tian Z, Chen H (2021) A novel decomposition-ensemble prediction model for ultra-short-term wind speed. Energy Convers Manage 248:114775

    Article  Google Scholar 

  119. Ma Y, Tang Y, Li B, Qi B (2020) Residential high-power load prediction based on optimized LSTM network. In: 2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE)

  120. Xiong J, Liang W, Liang X, Yao J (2022) Intelligent quantification of natural gas pipeline defects using improved sparrow search algorithm and deep extreme learning machine. Chem Eng Res Des 183:567–579

    Article  Google Scholar 

  121. Zhang Z, Han Y (2022) Discrete sparrow search algorithm for symmetric traveling salesman problem. Appl Soft Comput 118:108469

    Article  Google Scholar 

  122. Li L-L, Xiong J-L, Tseng M-L, Yan Z, Lim MK (2022) Using multi-objective sparrow search algorithm to establish active distribution network dynamic reconfiguration integrated optimization. Expert Syst Appl 193:116445

    Article  Google Scholar 

  123. Fathy A, Alanazi TM, Rezk H, Yousri D (2022) Optimal energy management of micro-grid using sparrow search algorithm. Energy Rep 8:758–773

    Article  Google Scholar 

  124. Kathiroli P, Kanmani S (2022) Multi-objective sparrow search algorithm-based clustering and routing in wireless sensor networks. In: Proceedings of International Conference on Intelligent Cyber-Physical Systems. Springer, Singapore

  125. Nguyen T, Nguyen T, Vu QH, Huynh TTB, Nguyen BM (2021) Multi-objective sparrow search optimization for task scheduling in fog-cloud-blockchain systems. In: 2021 IEEE International Conference on Services Computing (SCC)

  126. Li J, Wang W, Chen G, Han Z (2022) Spatiotemporal assessment of landslide susceptibility in Southern Sichuan, China using SA-DBN, PSO-DBN and SSA-DBN models compared with DBN model. Adv Space Res 69(8):3071–3087

    Article  Google Scholar 

  127. Meng Z, Zhang Y, Zhu B, Pan Z, Cui L, Li J, Fan F (2022) Research on rolling bearing fault diagnosis method based on ARMA and optimized MOMEDA. Measurement 189:110465

    Article  Google Scholar 

  128. Fathy A, Rezk H, Yousri D, Kandil T, Abo-Khalil AG (2022) Real-time bald eagle search approach for tracking the maximum generated power of wind energy conversion system. Energy 249:123661

    Article  Google Scholar 

  129. Zhao J, Wang X, Tian H, Shu G (2022) Optimization strategy and capacity planning for coordinated operation of regional energy internet system based on sparrow search algorithm. Int J Green Energy. https://doi.org/10.1080/15435075.2021.2005607

    Article  Google Scholar 

  130. Wang Y, Wang W, Tao G, Li H, Zheng Y, Cui J (2022) Optimization of the semi-sphere vortex generator for film cooling using generative adversarial network. Int J Heat Mass Transf 183:122026

    Article  Google Scholar 

  131. Chen M, Liang Z, Cheng Z, Zhao J, Tian Z (2022) Optimal scheduling of FTPSS With PV and HESS considering the online degradation of battery capacity. IEEE Trans Transp Electrif 8(1):936–947

    Article  Google Scholar 

  132. Wang Y, Wang H, Wen J, Lun Y, Wu J (2020) Obstacle avoidance of UAV based on neural networks and interfered fluid dynamical system. In: 2020 3rd International Conference on Unmanned Systems (ICUS)

  133. Zhu D, Huang Z, Xie L, Zhou C (2022) Improved particle swarm based on elastic collision for DNA coding optimization design. IEEE Access 10:63592

    Article  Google Scholar 

  134. Hui X, Guangbin C, Shengxiu Z, Xiaogang Y, Mingzhe H (2022) Hypersonic reentry trajectory optimization by using improved sparrow search algorithm and control parametrization method. Adv Space Res 69(6):2512–2524

    Article  Google Scholar 

  135. Wang J, Cui Q, He M (2022) Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine. Chaos Solitons Fractals 156:111783

    Article  Google Scholar 

  136. Kumar Ganti P, Naik H, Kanungo Barada M (2022) Environmental impact analysis and enhancement of factors affecting the photovoltaic (PV) energy utilization in mining industry by sparrow search optimization based gradient boosting decision tree approach. Energy 244:122561

    Article  Google Scholar 

  137. Feng Z-k, Duan J-f, Niu W-j, Jiang Z-q, Liu Y (2022) Enhanced sine cosine algorithm using opposition learning, adaptive evolution and neighborhood search strategies for multivariable parameter optimization problems. Appl Soft Comput 119:108562

    Article  Google Scholar 

  138. Chang L, Wang R, Zhang Y (2022) Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis. Biomed Signal Process Control 71:103209

    Article  Google Scholar 

  139. Phani Raghav L, Seshu Kumar R, Koteswara Raju D, Singh AR (2022) Analytic hierarchy process (AHP)—swarm intelligence based flexible demand response management of grid-connected microgrid. Appl Energy 306:118058

    Article  Google Scholar 

  140. Zafar MH, Khan UA, Khan NM (2021) A sparrow search optimization algorithm based MPPT control of PV system to harvest energy under uniform and non-uniform irradiance. In: 2021 International Conference on Emerging Power Technologies (ICEPT)

  141. Jebaraj L, Sakthivel S (2022) A new swarm intelligence optimization approach to solve power flow optimization problem incorporating conflicting and fuel cost based objective functions. e-Prime Adv Electr Eng Electron Energy 2:100031

    Google Scholar 

  142. Wang Y, Ding S, Wang L, Du S (2022) A manifold p-spectral clustering with sparrow search algorithm. Soft Comput 26(4):1765–1777

    Article  Google Scholar 

  143. Zhou S, Xie H, Zhang C, Hua Y, Zhang W, Chen Q, Gu G, Sui X (2021) Wavefront-shaping focusing based on a modified sparrow search algorithm. Optik 244:167516

    Article  Google Scholar 

  144. Kumar KK, Reddy GN (2021) The sparrow search algorithm for optimum position of wind turbine on a wind farm. Int J Renew Energy Res 11(4):1–8

    Google Scholar 

  145. Liu T, Liu H, Zheng M, Tan C (2021) SSA-based WSN clustering routing algorithm for power grid. In: 2021 2nd Information Communication Technologies Conference (ICTC)

  146. Karthick S, Gomathi N (2021) Sparrow search algorithm-based resource management in internet of things (IoT). EAI Endorsed Trans 22(37):1–11

    Google Scholar 

  147. Miao B, Tan M, Hu G, Du B (2021) Shape optimization of developable bézier-like surfaces with multiple shape parameters using sparrow search algorithm. In: 2021 6th International Conference on Image, Vision and Computing (ICIVC)

  148. Cao G, Wang H, Huang Y, Lu T, Wang C, Li H (2021) Research on single-stage photovoltaic grid-connected control based on SSA optimized LADRC. In: 2021 China Automation Congress (CAC). 2021.

  149. Shi M, Liang Y, Qin L, Zheng Z, Huang Z (2021) Prediction method of ball valve internal leakage rate based on acoustic emission technology. Flow Meas Instrum 81:102036

    Article  Google Scholar 

  150. Xu L, Wang H, Liu Y, Xue W, Li N (2021) PID control for aeroengine based on sparrow search algorithm. In: 2021 China Automation Congress (CAC)

  151. Song J, Jin L, Xie Y, Wei C (2021) Optimized XGBoost based sparrow search algorithm for short-term load forecasting. In: 2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE)

  152. Xing Z, Yi C, Lin J, Zhou Q (2021) Multi-component fault diagnosis of wheelset-bearing using shift-invariant impulsive dictionary matching pursuit and sparrow search algorithm. Measurement 178:109375

    Article  Google Scholar 

  153. Abdulhammed OY (2022) Load balancing of IoT tasks in the cloud computing by using sparrow search algorithm. J Supercomput 78(3):3266–3287

    Article  Google Scholar 

  154. Tuerxun W, Chang X, Hongyu G, Zhijie J, Huajian Z (2021) Fault diagnosis of wind turbines based on a support vector machine optimized by the sparrow search algorithm. IEEE Access 9:69307–69315

    Article  Google Scholar 

  155. Gai J, Zhong K, Du X, Yan K, Shen J (2021) Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm. Measurement 185:110079

    Article  Google Scholar 

  156. Sharma M, Sharma M, Sharma S (2021) Desert sparrow optimization algorithm for the bicriteria flow shop scheduling problem with sequence-independent setup time. Oper Res 22:4353

    Google Scholar 

  157. Xu L, Cai D, Shen W, Su H (2021) Denoising method for Fiber Optic Gyro measurement signal of face slab deflection of concrete face rockfill dam based on sparrow search algorithm and variational modal decomposition. Sens Actuators A 331:112913

    Article  Google Scholar 

  158. Wu M, Yang D, Yang Z, Guo Y (2021) Sparrow search algorithm for solving flexible jobshop scheduling problem. In: Advances in Swarm Intelligence. Springer, Cham

  159. Kathiroli P (2021) An efficient cluster-based routing using Sparrow Search Algorithm for heterogeneous nodes in Wireless Sensor Networks. In: 2021 International Conference on Communication information and Computing Technology (ICCICT)

  160. Tolba MA, Bulatov RV, Burmeyster MV (2021) A robust methodology approach based sparrow search algorithm for the incorporation of rdgs to improve the distribution grid performance. In: 2021 International Ural Conference on Electrical Power Engineering (UralCon)

  161. Zhang Q, Zhang Y, Zhu X (2021) A novel node localization algorithm based on sparrow search for WSNs. In: 2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC)

  162. Singh AR, Ding L, Raju DK, Raghav LP, Kumar RS (2022) A swarm intelligence approach for energy management of grid-connected microgrids with flexible load demand response. Int J Energy Res 46(4):4301–4319

    Article  Google Scholar 

  163. Wu Y, Zhou W, Gu X, Wu W, Yang G (2022) A fault diagnosis method based on support vector machine optimized by sparrow search algorithm. In: Proceedings of 2021 Chinese Intelligent Systems Conference. Springer, Singapore

  164. Decoderz, (2020) Sparrow search algorithm (SSA): a swarm intelligence optimization algorithm for the application to solve practical engineering examples. Transpire Online 2020(1):1–15

    Google Scholar 

  165. Wu D, Yuan C (2022) Correction to: Threshold image segmentation based on improved sparrow search algorithm. Multimedia Tools Appl

  166. Wang Z, Wang S, Tang H (2022) Wireless sensor network coverage optimization based on sparrow search algorithm. In: Communications, Signal Processing, and Systems. Springer, Singapore

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran

    Farhad Soleimanian Gharehchopogh, Laya Ebrahimi & Benyamin Abdollahzadeh

  2. Department of Computer Engineering, Maybod Branch. Islamic Azad University, Maybod, Iran

    Mohammad Namazi

Authors
  1. Farhad Soleimanian Gharehchopogh
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Mohammad Namazi
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Laya Ebrahimi
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Benyamin Abdollahzadeh
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Farhad Soleimanian Gharehchopogh.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gharehchopogh, F.S., Namazi, M., Ebrahimi, L. et al. Advances in Sparrow Search Algorithm: A Comprehensive Survey. Arch Computat Methods Eng 30, 427–455 (2023). https://doi.org/10.1007/s11831-022-09804-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11831-022-09804-w