{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:05:05Z","timestamp":1772823905171,"version":"3.50.1"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62072235"],"award-info":[{"award-number":["62072235"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s10586-024-04730-x","type":"journal-article","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T20:28:24Z","timestamp":1729196904000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-strategy arithmetic optimization algorithm for global optimization and uncertain motion tracking"],"prefix":"10.1007","volume":"28","author":[{"given":"Zeng","family":"Gao","sequence":"first","affiliation":[]},{"given":"Yi","family":"Zhuang","sequence":"additional","affiliation":[]},{"given":"Jingjing","family":"Gu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,17]]},"reference":[{"issue":"5","key":"4730_CR1","doi-asserted-by":"crossref","first-page":"3943","DOI":"10.1109\/TITS.2020.3046478","volume":"23","author":"SM Marvasti-Zadeh","year":"2021","unstructured":"Marvasti-Zadeh, S.M., Cheng, L., Ghanei-Yakhdan, H., Kasaei, S.: Deep learning for visual tracking: a comprehensive survey. IEEE Trans. Intell. Transp. Syst. 23(5), 3943\u20133968 (2021)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"5","key":"4730_CR2","first-page":"6552","volume":"45","author":"S Javed","year":"2022","unstructured":"Javed, S., Danelljan, M., Khan, F.S., Khan, M.H., Felsberg, M., Matas, J.: Visual object tracking with discriminative filters and siamese networks: a survey and outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45(5), 6552\u20136574 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4730_CR3","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Pan, H., Wang, J., Sun, W.: Facing completely occluded short-term tracking based on correlation filters. IEEE Transactions on Instrumentation and Measurement (2023)","DOI":"10.1109\/TIM.2023.3317483"},{"issue":"3","key":"4730_CR4","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: High-speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 583\u2013596 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4730_CR5","doi-asserted-by":"crossref","unstructured":"Tang, F., Ling, Q.: Ranking-based siamese visual tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8741\u20138750 (2022)","DOI":"10.1109\/CVPR52688.2022.00854"},{"key":"4730_CR6","volume":"269","author":"X Wang","year":"2023","unstructured":"Wang, X., Nie, G., Li, B., Zhao, Y., Kang, M., Liu, B.: Hierarchical memory-guided long-term tracking with meta transformer inquiry network. Knowl.-Based Syst. 269, 110504 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"4730_CR7","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.108802","volume":"122","author":"SA Daneshyar","year":"2022","unstructured":"Daneshyar, S.A., Charkari, N.M.: Biogeography based optimization method for robust visual object tracking. Appl. Soft Comput. 122, 108802 (2022)","journal-title":"Appl. Soft Comput."},{"key":"4730_CR8","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jmapro.2021.10.005","volume":"72","author":"R Xiao","year":"2021","unstructured":"Xiao, R., Xu, Y., Hou, Z., Chen, C., Chen, S.: A feature extraction algorithm based on improved snake model for multi-pass seam tracking in robotic arc welding. J. Manuf. Process. 72, 48\u201360 (2021)","journal-title":"J. Manuf. Process."},{"key":"4730_CR9","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1016\/j.procs.2020.03.366","volume":"167","author":"A Pareek","year":"2020","unstructured":"Pareek, A., Arora, N.: Re-projected surf features based mean-shift algorithm for visual tracking. Proc. Comput. Sci. 167, 1553\u20131560 (2020)","journal-title":"Proc. Comput. Sci."},{"key":"4730_CR10","doi-asserted-by":"crossref","first-page":"3263","DOI":"10.1109\/TIP.2021.3060164","volume":"30","author":"S Feng","year":"2021","unstructured":"Feng, S., Hu, K., Fan, E., Zhao, L., Wu, C.: Kalman filter for spatial-temporal regularized correlation filters. IEEE Trans. Image Process. 30, 3263\u20133278 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"4730_CR11","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113188","volume":"147","author":"SS Moghaddasi","year":"2020","unstructured":"Moghaddasi, S.S., Faraji, N.: A hybrid algorithm based on particle filter and genetic algorithm for target tracking. Expert Syst. Appl. 147, 113188 (2020)","journal-title":"Expert Syst. Appl."},{"key":"4730_CR12","volume":"144","author":"H Zhang","year":"2023","unstructured":"Zhang, H., Gao, Z., Pan, Y., Yang, G., Zhang, W.C., Wang, J.: A synergy of the adaptive whale optimization algorithm and differential evolution for abrupt motion tracking. Appl. Soft Comput. 144, 110554 (2023)","journal-title":"Appl. Soft Comput."},{"issue":"13","key":"4730_CR13","doi-asserted-by":"crossref","first-page":"19793","DOI":"10.1007\/s11042-022-13819-7","volume":"82","author":"Z Gao","year":"2023","unstructured":"Gao, Z., Zhuang, Y., Chen, C., Wang, Q.: Hybrid modified marine predators algorithm with teaching-learning-based optimization for global optimization and abrupt motion tracking. Multimed. Tools Appl. 82(13), 19793\u201319828 (2023)","journal-title":"Multimed. Tools Appl."},{"key":"4730_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, X., Hu, W., Maybank, S., Li, X., Zhu, M.: Sequential particle swarm optimization for visual tracking. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2008). IEEE","DOI":"10.1109\/CVPR.2008.4587512"},{"key":"4730_CR15","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1016\/j.neucom.2015.11.072","volume":"177","author":"M-L Gao","year":"2016","unstructured":"Gao, M.-L., Shen, J., Yin, L.-J., Liu, W., Zou, G.-F., Li, H.-T., Fu, G.-X.: A novel visual tracking method using bat algorithm. Neurocomputing 177, 612\u2013619 (2016)","journal-title":"Neurocomputing"},{"key":"4730_CR16","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1016\/j.ijleo.2017.11.155","volume":"156","author":"M Gao","year":"2018","unstructured":"Gao, M., Shen, J., Jiang, J.: Visual tracking using improved flower pollination algorithm. Optik 156, 522\u2013529 (2018)","journal-title":"Optik"},{"key":"4730_CR17","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2020.113609","volume":"376","author":"L Abualigah","year":"2021","unstructured":"Abualigah, L., Diabat, A., Mirjalili, S., Abd Elaziz, M., Gandomi, A.H.: The arithmetic optimization algorithm. Comput. Methods Appl. Mech. Eng. 376, 113609 (2021)","journal-title":"Comput. Methods Appl. Mech. Eng."},{"issue":"13","key":"4730_CR18","doi-asserted-by":"crossref","first-page":"2891","DOI":"10.3390\/math11132891","volume":"11","author":"T Xu","year":"2023","unstructured":"Xu, T., Gao, Z., Zhuang, Y.: Fault prediction of control clusters based on an improved arithmetic optimization algorithm and bp neural network. Mathematics 11(13), 2891 (2023)","journal-title":"Mathematics"},{"key":"4730_CR19","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.110169","volume":"260","author":"E \u00c7elik","year":"2023","unstructured":"\u00c7elik, E.: Iegqo-aoa: information-exchanged gaussian arithmetic optimization algorithm with quasi-opposition learning. Knowl.-Based Syst. 260, 110169 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"4730_CR20","volume":"209","author":"S Singh","year":"2022","unstructured":"Singh, S., Singh, H., Mittal, N., Hussien, A.G., Sroubek, F.: A feature level image fusion for night-vision context enhancement using arithmetic optimization algorithm based image segmentation. Expert Syst. Appl. 209, 118272 (2022)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"4730_CR21","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao, R.V., Savsani, V.J., Vakharia, D.: Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput. Aided Des. 43(3), 303\u2013315 (2011)","journal-title":"Comput. Aided Des."},{"key":"4730_CR22","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2020.100663","volume":"54","author":"BH Nguyen","year":"2020","unstructured":"Nguyen, B.H., Xue, B., Zhang, M.: A survey on swarm intelligence approaches to feature selection in data mining. Swarm Evol. Comput. 54, 100663 (2020)","journal-title":"Swarm Evol. Comput."},{"key":"4730_CR23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10586-023-04203-7","volume":"27","author":"M Zhang","year":"2024","unstructured":"Zhang, M., Wen, G.: Duck swarm algorithm: theory, numerical optimization, and applications. Cluster Comput. 27, 1\u201329 (2024)","journal-title":"Cluster Comput."},{"key":"4730_CR24","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S., Lewis, A.: The whale optimization algorithm. Adv. Eng. Softw. 95, 51\u201367 (2016)","journal-title":"Adv. Eng. Softw."},{"key":"4730_CR25","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.knosys.2015.12.022","volume":"96","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S.: Sca: a sine cosine algorithm for solving optimization problems. Knowl.-Based Syst. 96, 120\u2013133 (2016)","journal-title":"Knowl.-Based Syst."},{"key":"4730_CR26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10586-023-04203-7","volume":"27","author":"H Cui","year":"2024","unstructured":"Cui, H., Xiao, Y., Hussien, A.G., Guo, Y.: Multi-strategy boosted aquila optimizer for function optimization and engineering design problems. Cluster Comput. 27, 1\u201352 (2024)","journal-title":"Cluster Comput."},{"issue":"1","key":"4730_CR27","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. IEEE Trans. Evol. Comput. 1(1), 67\u201382 (1997)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"4730_CR28","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110274","volume":"263","author":"\u0130 G\u00f6lc\u00fck","year":"2023","unstructured":"G\u00f6lc\u00fck, \u0130, Ozsoydan, F.B., Durmaz, E.D.: An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environments. Knowl.-Based Syst. 263, 110274 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"4730_CR29","volume":"113","author":"Y Yang","year":"2022","unstructured":"Yang, Y., Gao, Y., Tan, S., Zhao, S., Wu, J., Gao, S., Zhang, T., Tian, Y.-C., Wang, Y.-G.: An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. Eng. Appl. Artif. Intell. 113, 104981 (2022)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"5","key":"4730_CR30","doi-asserted-by":"crossref","first-page":"4041","DOI":"10.1007\/s10462-021-10101-4","volume":"55","author":"M Azizi","year":"2022","unstructured":"Azizi, M., Talatahari, S.: Improved arithmetic optimization algorithm for design optimization of fuzzy controllers in steel building structures with nonlinear behavior considering near fault ground motion effects. Artif. Intell. Rev. 55(5), 4041\u20134075 (2022)","journal-title":"Artif. Intell. Rev."},{"issue":"14","key":"4730_CR31","doi-asserted-by":"crossref","first-page":"16718","DOI":"10.1007\/s10489-021-03037-3","volume":"52","author":"X-D Li","year":"2022","unstructured":"Li, X.-D., Wang, J.-S., Hao, W.-K., Zhang, M., Wang, M.: Chaotic arithmetic optimization algorithm. Appl. Intell. 52(14), 16718\u201316757 (2022)","journal-title":"Appl. Intell."},{"key":"4730_CR32","volume":"224","author":"H Liu","year":"2023","unstructured":"Liu, H., Zhang, X., Zhang, H., Li, C., Chen, Z.: A reinforcement learning-based hybrid aquila optimizer and improved arithmetic optimization algorithm for global optimization. Expert Syst. Appl. 224, 119898 (2023)","journal-title":"Expert Syst. Appl."},{"key":"4730_CR33","doi-asserted-by":"crossref","DOI":"10.1016\/j.est.2022.104154","volume":"49","author":"H Abdel-Mawgoud","year":"2022","unstructured":"Abdel-Mawgoud, H., Fathy, A., Kamel, S.: An effective hybrid approach based on arithmetic optimization algorithm and sine cosine algorithm for integrating battery energy storage system into distribution networks. J. Energy Storage 49, 104154 (2022)","journal-title":"J. Energy Storage"},{"issue":"9","key":"4730_CR34","doi-asserted-by":"crossref","first-page":"5769","DOI":"10.1007\/s00500-022-07805-2","volume":"27","author":"AA Mohamed","year":"2023","unstructured":"Mohamed, A.A., Abdellatif, A.D., Alburaikan, A., Khalifa, H.A.E.-W., Elaziz, M.A., Abualigah, L., AbdelMouty, A.M.: A novel hybrid arithmetic optimization algorithm and salp swarm algorithm for data placement in cloud computing. Soft. Comput. 27(9), 5769\u20135780 (2023)","journal-title":"Soft. Comput."},{"issue":"4","key":"4730_CR35","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1049\/iet-cvi.2012.0207","volume":"7","author":"M-L Gao","year":"2013","unstructured":"Gao, M.-L., He, X.-H., Luo, D.-S., Jiang, J., Teng, Q.-Z.: Object tracking using firefly algorithm. IET Comput. Vision 7(4), 227\u2013237 (2013)","journal-title":"IET Comput. Vision"},{"key":"4730_CR36","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.eswa.2016.08.027","volume":"64","author":"C Bae","year":"2016","unstructured":"Bae, C., Kang, K., Liu, G., Chung, Y.Y.: A novel real time video tracking framework using adaptive discrete swarm optimization. Expert Syst. Appl. 64, 385\u2013399 (2016)","journal-title":"Expert Syst. Appl."},{"key":"4730_CR37","doi-asserted-by":"crossref","unstructured":"Zhang, H., Gao, Z., Zhang, J., Yang, G.: Visual tracking with levy flight grasshopper optimization algorithm. In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 217\u2013227 (2019). Springer","DOI":"10.1007\/978-3-030-31654-9_19"},{"key":"4730_CR38","doi-asserted-by":"crossref","first-page":"21381","DOI":"10.1007\/s11042-021-10691-9","volume":"80","author":"D Charef-Khodja","year":"2021","unstructured":"Charef-Khodja, D., Toumi, A., Medouakh, S., Sbaa, S.: Efficient visual tracking approach via whale optimizer and corrected background weighted histogram. Multimed. Tools Appl. 80, 21381\u201321407 (2021)","journal-title":"Multimed. Tools Appl."},{"key":"4730_CR39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2018.02.011","volume":"43","author":"H Nenavath","year":"2018","unstructured":"Nenavath, H., Jatoth, R.K., Das, S.: A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking. Swarm Evol. Comput. 43, 1\u201330 (2018)","journal-title":"Swarm Evol. Comput."},{"key":"4730_CR40","doi-asserted-by":"crossref","first-page":"5497","DOI":"10.1007\/s00521-018-3376-6","volume":"31","author":"H Nenavath","year":"2019","unstructured":"Nenavath, H., Jatoth, R.K.: Hybrid sca-tlbo: a novel optimization algorithm for global optimization and visual tracking. Neural Comput. Appl. 31, 5497\u20135526 (2019)","journal-title":"Neural Comput. Appl."},{"key":"4730_CR41","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.asoc.2018.02.037","volume":"66","author":"K Kang","year":"2018","unstructured":"Kang, K., Bae, C., Yeung, H.W.F., Chung, Y.Y.: A hybrid gravitational search algorithm with swarm intelligence and deep convolutional feature for object tracking optimization. Appl. Soft Comput. 66, 319\u2013329 (2018)","journal-title":"Appl. Soft Comput."},{"issue":"29\u201330","key":"4730_CR42","doi-asserted-by":"crossref","first-page":"21513","DOI":"10.1007\/s11042-020-08999-z","volume":"79","author":"PP Dash","year":"2020","unstructured":"Dash, P.P., Patra, D.: An efficient hybrid framework for visual tracking using exponential quantum particle filter and mean shift optimization. Multimed. Tools Appl. 79(29\u201330), 21513\u201321537 (2020)","journal-title":"Multimed. Tools Appl."},{"key":"4730_CR43","unstructured":"Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No. 98TH8360), pp. 69\u201373 (1998). IEEE"},{"key":"4730_CR44","unstructured":"Yue, C.T., Price, K.V., Suganthan, P.N., Liang, J.J., Ali, M.Z., Qu, B.Y., H., A.N., Biswas, P, P.: Problem definitions and evaluation criteria for the cec 2020 special session and competition on single objective bound constrained numerical optimization. Technical Report, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore. Glasgow, UK, (July 2020)"},{"key":"4730_CR45","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.116158","volume":"191","author":"L Abualigah","year":"2022","unstructured":"Abualigah, L., Abd Elaziz, M., Sumari, P., Geem, Z.W., Gandomi, A.H.: Reptile search algorithm (rsa): a nature-inspired meta-heuristic optimizer. Expert Syst. Appl. 191, 116158 (2022)","journal-title":"Expert Syst. Appl."},{"key":"4730_CR46","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.advengsoft.2017.01.004","volume":"105","author":"S Saremi","year":"2017","unstructured":"Saremi, S., Mirjalili, S., Lewis, A.: Grasshopper optimisation algorithm: theory and application. Adv. Eng. Softw. 105, 30\u201347 (2017)","journal-title":"Adv. Eng. Softw."},{"key":"4730_CR47","doi-asserted-by":"crossref","first-page":"168575","DOI":"10.1109\/ACCESS.2019.2954500","volume":"7","author":"H Zhang","year":"2019","unstructured":"Zhang, H., Gao, Z., Ma, X., Zhang, J., Zhang, J.: Hybridizing teaching-learning-based optimization with adaptive grasshopper optimization algorithm for abrupt motion tracking. IEEE Access 7, 168575\u2013168592 (2019)","journal-title":"IEEE Access"},{"key":"4730_CR48","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari, A.A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., Chen, H.: Harris hawks optimization: algorithm and applications. Futur. Gener. Comput. Syst. 97, 849\u2013872 (2019)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"4730_CR49","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.105190","volume":"191","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi, A., Heidarinejad, M., Stephens, B., Mirjalili, S.: Equilibrium optimizer: a novel optimization algorithm. Knowl.-Based Syst. 191, 105190 (2020)","journal-title":"Knowl.-Based Syst."},{"issue":"Suppl 4","key":"4730_CR50","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1007\/s00366-021-01438-z","volume":"38","author":"I Naruei","year":"2022","unstructured":"Naruei, I., Keynia, F.: Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems. Eng. Comput. 38(Suppl 4), 3025\u20133056 (2022)","journal-title":"Eng. Comput."},{"issue":"1","key":"4730_CR51","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"J Derrac","year":"2011","unstructured":"Derrac, J., Garc\u00eda, S., Molina, D., Herrera, F.: A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol. Comput. 1(1), 3\u201318 (2011)","journal-title":"Swarm Evol. Comput."},{"key":"4730_CR52","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195099713.001.0001","volume-title":"Evolutionary Algorithms in Theory and Practice: Evolution Strategies,Evolutionary Programming, Genetic Algorithms","author":"T Back","year":"1996","unstructured":"Back, T.: Evolutionary Algorithms in Theory and Practice: Evolution Strategies,Evolutionary Programming, Genetic Algorithms. Oxford University Press, Oxford (1996)"},{"issue":"9","key":"4730_CR53","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1109\/TPAMI.2014.2388226","volume":"37","author":"Y Wu","year":"2015","unstructured":"Wu, Y., Lim, J., Yang, M.-H.: Object tracking benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 37(9), 1834\u20131848 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"4730_CR54","doi-asserted-by":"crossref","first-page":"1709","DOI":"10.1109\/TCSVT.2015.2462012","volume":"26","author":"D Wang","year":"2016","unstructured":"Wang, D., Lu, H., Yang, M.-H.: Robust visual tracking via least soft-threshold squares. IEEE Trans. Circuits Syst. Video Technol. 26(9), 1709\u20131721 (2016)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"4730_CR55","doi-asserted-by":"crossref","unstructured":"Mueller, M., Smith, N., Ghanem, B.: Context-aware correlation filter tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1396\u20131404 (2017)","DOI":"10.1109\/CVPR.2017.152"},{"key":"4730_CR56","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.122638","volume":"241","author":"J Lian","year":"2024","unstructured":"Lian, J., Hui, G.: Human evolutionary optimization algorithm. Expert Syst. Appl. 241, 122638 (2024)","journal-title":"Expert Syst. Appl."},{"key":"4730_CR57","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.108064","volume":"172","author":"J Lian","year":"2024","unstructured":"Lian, J., Hui, G., Ma, L., Zhu, T., Wu, X., Heidari, A.A., Chen, Y., Chen, H.: Parrot optimizer: algorithm and applications to medical problems. Comput. Biol. Med. 172, 108064 (2024)","journal-title":"Comput. Biol. Med."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04730-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04730-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04730-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T15:08:47Z","timestamp":1736521727000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04730-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":57,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["4730"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04730-x","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,17]]},"assertion":[{"value":"3 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 October 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there are no Conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"14"}}