{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T15:20:02Z","timestamp":1777389602949,"version":"3.51.4"},"reference-count":87,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T00:00:00Z","timestamp":1740441600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T00:00:00Z","timestamp":1740441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["52165063"],"award-info":[{"award-number":["52165063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004001","name":"Science and Technology Foundation of Guizhou Province","doi-asserted-by":"crossref","award":["Qiankehe pingtai rencai-CXTD [2023] No.007, Qiankehe pingtai rencai-GCC [2022] No.006-1"],"award-info":[{"award-number":["Qiankehe pingtai rencai-CXTD [2023] No.007, Qiankehe pingtai rencai-GCC [2022] No.006-1"]}],"id":[{"id":"10.13039\/501100004001","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guizhou Provincial Key Technology R&D Program","award":["Qiankehe support normal [2024] No.093, Qiankehe support normal [2023] No.348 and No.309, Qiankehe support normal [2022] No.165 and No.008"],"award-info":[{"award-number":["Qiankehe support normal [2024] No.093, Qiankehe support normal [2023] No.348 and No.309, Qiankehe support normal [2022] No.165 and No.008"]}]},{"DOI":"10.13039\/501100005230","name":"Natural Science Foundation of Chongqing","doi-asserted-by":"crossref","award":["CSTB2022NSCQ-MSX1600"],"award-info":[{"award-number":["CSTB2022NSCQ-MSX1600"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s10586-024-04881-x","type":"journal-article","created":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T14:04:41Z","timestamp":1740492281000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Multi-strategy improved snake optimizer based on adaptive l\u00e9vy flight and dual-lens fusion"],"prefix":"10.1007","volume":"28","author":[{"given":"Guangming","family":"Gong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengwei","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haisong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hefan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,25]]},"reference":[{"key":"4881_CR1","doi-asserted-by":"publisher","first-page":"100315","DOI":"10.1016\/j.rico.2023.100315","volume":"13","author":"PK Mandal","year":"2023","unstructured":"Mandal, P.K.: A review of classical methods and nature-inspired algorithms (NIAs) for optimization problems. Res. Control Optim. 13, 100315 (2023). https:\/\/doi.org\/10.1016\/j.rico.2023.100315","journal-title":"Res. Control Optim."},{"key":"4881_CR2","doi-asserted-by":"publisher","first-page":"102094","DOI":"10.1016\/j.rcim.2020.102094","volume":"68","author":"L Zhou","year":"2021","unstructured":"Zhou, L., Zhang, L., Horn, B.K.P.: Collaborative optimization for logistics and processing services in cloud manufacturing. Robot. Comput. Integrate. Manuf. 68, 102094 (2021). https:\/\/doi.org\/10.1016\/j.rcim.2020.102094","journal-title":"Robot. Comput. Integrate. Manuf."},{"key":"4881_CR3","doi-asserted-by":"publisher","first-page":"118423","DOI":"10.1016\/j.energy.2020.118423","volume":"208","author":"L Zhang","year":"2020","unstructured":"Zhang, L., Kuang, J., Sun, B., Li, F., Zhang, C.: A two-stage operation optimization method of integrated energy systems with demand response and energy storage. Energy 208, 118423 (2020). https:\/\/doi.org\/10.1016\/j.energy.2020.118423","journal-title":"Energy"},{"key":"4881_CR4","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.arcontrol.2016.04.019","volume":"41","author":"H Balakrishnan","year":"2016","unstructured":"Balakrishnan, H.: Control and optimization algorithms for air transportation systems. Annu. Rev. Control. 41, 39\u201346 (2016). https:\/\/doi.org\/10.1016\/j.arcontrol.2016.04.019","journal-title":"Annu. Rev. Control."},{"key":"4881_CR5","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MCOM.2017.1600830","volume":"55","author":"M Tang","year":"2017","unstructured":"Tang, M., Gao, L., Pang, H., Huang, J., Sun, L.: Optimizations and economics of crowdsourced mobile streaming. IEEE Commun. Mag. 55, 21\u201327 (2017). https:\/\/doi.org\/10.1109\/MCOM.2017.1600830","journal-title":"IEEE Commun. Mag."},{"key":"4881_CR6","doi-asserted-by":"publisher","first-page":"101421","DOI":"10.1016\/j.swevo.2023.101421","volume":"84","author":"G Gong","year":"2023","unstructured":"Gong, G., Tang, J., Huang, D., Luo, Q., Zhu, K., Peng, N.: Energy-efficient flexible job shop scheduling problem considering discrete operation sequence flexibility. Swarm Evolution. Comput. 84, 101421 (2023). https:\/\/doi.org\/10.1016\/j.swevo.2023.101421","journal-title":"Swarm Evolution. Comput."},{"key":"4881_CR7","doi-asserted-by":"publisher","first-page":"113612","DOI":"10.1016\/j.eswa.2020.113612","volume":"158","author":"H Chen","year":"2020","unstructured":"Chen, H., Li, W., Yang, X.: A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems. Expert Syst. Appl. 158, 113612 (2020). https:\/\/doi.org\/10.1016\/j.eswa.2020.113612","journal-title":"Expert Syst. Appl."},{"key":"4881_CR8","doi-asserted-by":"publisher","first-page":"124857","DOI":"10.1016\/j.eswa.2024.124857","volume":"255","author":"G Li","year":"2024","unstructured":"Li, G., Zhang, T., Tsai, C.-Y., Yao, L., Lu, Y., Tang, J.: Review of the metaheuristic algorithms in applications: visual analysis based on bibliometrics. Expert Syst. Appl. 255, 124857 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2024.124857","journal-title":"Expert Syst. Appl."},{"key":"4881_CR9","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1016\/j.matcom.2022.08.020","volume":"204","author":"Y Li","year":"2023","unstructured":"Li, Y., Yu, X., Liu, J.: An opposition-based butterfly optimization algorithm with adaptive elite mutation in solving complex high-dimensional optimization problems. Math. Comput. Simul 204, 498\u2013528 (2023). https:\/\/doi.org\/10.1016\/j.matcom.2022.08.020","journal-title":"Math. Comput. Simul"},{"key":"4881_CR10","doi-asserted-by":"publisher","first-page":"101389","DOI":"10.1016\/j.swevo.2023.101389","volume":"83","author":"X Feng","year":"2023","unstructured":"Feng, X., Ren, Z., Pan, A., Hong, J., Tong, Y.: A multi-preference-based constrained multi-objective optimization algorithm. Swarm Evol. Comput. 83, 101389 (2023). https:\/\/doi.org\/10.1016\/j.swevo.2023.101389","journal-title":"Swarm Evol. Comput."},{"key":"4881_CR11","doi-asserted-by":"publisher","first-page":"101414","DOI":"10.1016\/j.swevo.2023.101414","volume":"83","author":"X Chen","year":"2023","unstructured":"Chen, X., Li, J., Xu, Y.: Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions. Swarm Evol. Comput. 83, 101414 (2023). https:\/\/doi.org\/10.1016\/j.swevo.2023.101414","journal-title":"Swarm Evol. Comput."},{"key":"4881_CR12","doi-asserted-by":"publisher","first-page":"4385","DOI":"10.1007\/s00521-018-3343-2","volume":"31","author":"S Arora","year":"2019","unstructured":"Arora, S., Anand, P.: Chaotic grasshopper optimization algorithm for global optimization. Neural Comput. Appl. 31, 4385\u20134405 (2019). https:\/\/doi.org\/10.1007\/s00521-018-3343-2","journal-title":"Neural Comput. Appl."},{"key":"4881_CR13","doi-asserted-by":"publisher","first-page":"116915","DOI":"10.1016\/j.cma.2024.116915","volume":"425","author":"H Huang","year":"2024","unstructured":"Huang, H., Wu, R., Huang, H., Wei, J., Han, Z., Wen, L., Yuan, Y.: Multi-strategy improved artificial rabbit optimization algorithm based on fusion centroid and elite guidance mechanisms. Comput. Methods Appl. Mech. Eng. 425, 116915 (2024). https:\/\/doi.org\/10.1016\/j.cma.2024.116915","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"4881_CR14","doi-asserted-by":"publisher","first-page":"10982","DOI":"10.3390\/su151410982","volume":"15","author":"Z Liu","year":"2023","unstructured":"Liu, Z., Wang, W., He, J., Zhang, J., Wang, J., Li, S., Sun, Y., Ren, X.: A new hybrid algorithm for vehicle routing optimization. Sustainability. 15, 10982 (2023). https:\/\/doi.org\/10.3390\/su151410982","journal-title":"Sustainability."},{"key":"4881_CR15","doi-asserted-by":"publisher","first-page":"4290","DOI":"10.3390\/app13074290","volume":"13","author":"J Li","year":"2023","unstructured":"Li, J., Kang, F., Chen, C., Tong, S., Jia, Y., Zhang, C., Wang, Y.: The improved a* algorithm for quadrotor UAVs under forest obstacle avoidance path planning. Appl. Sci. 13, 4290 (2023). https:\/\/doi.org\/10.3390\/app13074290","journal-title":"Appl. Sci."},{"key":"4881_CR16","doi-asserted-by":"publisher","first-page":"329","DOI":"10.31181\/dmame181221030d","volume":"5","author":"M Das","year":"2022","unstructured":"Das, M., Roy, A., Maity, S., Kar, S., Sengupta, S.: Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm. Decision Making Appl. Manag. Eng. 5, 329\u2013361 (2022). https:\/\/doi.org\/10.31181\/dmame181221030d","journal-title":"Decision Making Appl. Manag. Eng."},{"key":"4881_CR17","doi-asserted-by":"publisher","first-page":"120600","DOI":"10.1016\/j.eswa.2023.120600","volume":"229","author":"Y Chen","year":"2023","unstructured":"Chen, Y., Zhong, J., Mumtaz, J., Zhou, S., Zhu, L.: An improved spider monkey optimization algorithm for multi-objective planning and scheduling problems of PCB assembly line. Expert Syst. Appl. 229, 120600 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2023.120600","journal-title":"Expert Syst. Appl."},{"key":"4881_CR18","doi-asserted-by":"publisher","first-page":"126204","DOI":"10.1016\/j.neucom.2023.03.065","volume":"540","author":"X Luo","year":"2023","unstructured":"Luo, X., Du, B., Gui, P., Zhang, D., Hu, W.: A Hunger Games Search algorithm with opposition-based learning for solving multimodal medical image registration. Neurocomputing 540, 126204 (2023). https:\/\/doi.org\/10.1016\/j.neucom.2023.03.065","journal-title":"Neurocomputing"},{"key":"4881_CR19","doi-asserted-by":"publisher","first-page":"119327","DOI":"10.1016\/j.eswa.2022.119327","volume":"215","author":"X Yu","year":"2023","unstructured":"Yu, X., Jiang, N., Wang, X., Li, M.: A hybrid algorithm based on grey wolf optimizer and differential evolution for UAV path planning. Expert Syst. Appl. 215, 119327 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2022.119327","journal-title":"Expert Syst. Appl."},{"key":"4881_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-99079-4_19","author":"L Abualigah","year":"2022","unstructured":"Abualigah, L., Elaziz, M.A., Khodadadi, N., Forestiero, A., Jia, H., Gandomi, A.H.: Aquila Optim. Based PSO Swarm Intell. IoT Task Sched. Appl. Cloud Comput. (2022). https:\/\/doi.org\/10.1007\/978-3-030-99079-4_19","journal-title":"Aquila Optim. Based PSO Swarm Intell. IoT Task Sched. Appl. Cloud Comput."},{"key":"4881_CR21","doi-asserted-by":"publisher","first-page":"113882","DOI":"10.1016\/j.eswa.2020.113882","volume":"165","author":"Q Fan","year":"2021","unstructured":"Fan, Q., Huang, H., Li, Y., Han, Z., Hu, Y., Huang, D.: Beetle antenna strategy based grey wolf optimization. Expert Syst. Appl. 165, 113882 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2020.113882","journal-title":"Expert Syst. Appl."},{"key":"4881_CR22","doi-asserted-by":"publisher","first-page":"116199","DOI":"10.1016\/j.cma.2023.116199","volume":"415","author":"K Li","year":"2023","unstructured":"Li, K., Huang, H., Fu, S., Ma, C., Fan, Q., Zhu, Y.: A multi-strategy enhanced northern goshawk optimization algorithm for global optimization and engineering design problems. Comput. Methods Appl. Mech. Eng. 415, 116199 (2023). https:\/\/doi.org\/10.1016\/j.cma.2023.116199","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"4881_CR23","doi-asserted-by":"publisher","first-page":"119421","DOI":"10.1016\/j.eswa.2022.119421","volume":"215","author":"R Wu","year":"2023","unstructured":"Wu, R., Huang, H., Wei, J., Ma, C., Zhu, Y., Chen, Y., Fan, Q.: An improved sparrow search algorithm based on quantum computations and multi-strategy enhancement. Expert Syst. Appl. 215, 119421 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2022.119421","journal-title":"Expert Syst. Appl."},{"key":"4881_CR24","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/j.matcom.2021.12.010","volume":"194","author":"M Alimoradi","year":"2022","unstructured":"Alimoradi, M., Azgomi, H., Asghari, A.: Trees social relations optimization algorithm: a new swarm-based metaheuristic technique to solve continuous and discrete optimization problems. Math. Comput. Simul 194, 629\u2013664 (2022). https:\/\/doi.org\/10.1016\/j.matcom.2021.12.010","journal-title":"Math. Comput. Simul"},{"key":"4881_CR25","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland, J.H.: Genetic algorithms. Sci. Am. 267, 66\u201373 (1992)","journal-title":"Sci. Am."},{"key":"4881_CR26","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/MAP.2011.5773566","volume":"53","author":"P Rocca","year":"2011","unstructured":"Rocca, P., Oliveri, G., Massa, A.: Differential evolution as applied to electromagnetics. IEEE Antennas Propag. Mag. 53, 38\u201349 (2011). https:\/\/doi.org\/10.1109\/MAP.2011.5773566","journal-title":"IEEE Antennas Propag. Mag."},{"key":"4881_CR27","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1111\/j.1558-5646.1970.tb01740.x","volume":"24","author":"DW Tinkle","year":"1970","unstructured":"Tinkle, D.W., Wilbur, H.M., Tilley, S.G.: Evolutionary strategies in lizard reproduction. Evolution 24, 55\u201374 (1970). https:\/\/doi.org\/10.1111\/j.1558-5646.1970.tb01740.x","journal-title":"Evolution"},{"key":"4881_CR28","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1016\/j.asoc.2016.02.038","volume":"43","author":"M Jaderyan","year":"2016","unstructured":"Jaderyan, M., Khotanlou, H.: Virulence optimization algorithm. Appl. Soft Comput. 43, 596\u2013618 (2016). https:\/\/doi.org\/10.1016\/j.asoc.2016.02.038","journal-title":"Appl. Soft Comput."},{"key":"4881_CR29","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: GSA: a gravitational search algorithm. Inf. Sci. 179, 2232\u20132248 (2009). https:\/\/doi.org\/10.1016\/j.ins.2009.03.004","journal-title":"Inf. Sci."},{"key":"4881_CR30","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220, 671\u2013680 (1983). https:\/\/doi.org\/10.1126\/science.220.4598.671","journal-title":"Science"},{"key":"4881_CR31","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili, S., Mirjalili, S.M., Hatamlou, A.: Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput. Appl. 27, 495\u2013513 (2015). https:\/\/doi.org\/10.1007\/s00521-015-1870-7","journal-title":"Neural Comput. Appl."},{"key":"4881_CR32","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1109\/TEVC.2009.2033580","volume":"14","author":"AYS Lam","year":"2010","unstructured":"Lam, A.Y.S., Li, V.O.K.: Chemical-reaction-inspired metaheuristic for optimization. IEEE Trans. Evol. Comput. 14, 381\u2013399 (2010). https:\/\/doi.org\/10.1109\/TEVC.2009.2033580","journal-title":"IEEE Trans. Evol. Comput."},{"key":"4881_CR33","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.compstruc.2016.01.008","volume":"167","author":"A Kaveh","year":"2016","unstructured":"Kaveh, A., Bakhshpoori, T.: Water evaporation optimization: a novel physically inspired optimization algorithm. Comput. Struct. 167, 69\u201385 (2016). https:\/\/doi.org\/10.1016\/j.compstruc.2016.01.008","journal-title":"Comput. Struct."},{"key":"4881_CR34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2918406","author":"Z Wei","year":"2019","unstructured":"Wei, Z., Huang, C., Wang, X., Han, T., Li, Y.: Nuclear reaction optimization: a novel and powerful physics-based algorithm for global optimization. IEEE Access (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2918406","journal-title":"IEEE Access"},{"key":"4881_CR35","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.advengsoft.2017.03.014","volume":"110","author":"A Kaveh","year":"2017","unstructured":"Kaveh, A., Dadras, A.: A novel meta-heuristic optimization algorithm: thermal exchange optimization. Adv. Eng. Softw. 110, 69\u201384 (2017). https:\/\/doi.org\/10.1016\/j.advengsoft.2017.03.014","journal-title":"Adv. Eng. Softw."},{"key":"4881_CR36","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.compstruc.2012.09.003","volume":"112\u2013113","author":"A Kaveh","year":"2012","unstructured":"Kaveh, A., Khayatazad, M.: A new meta-heuristic method: ray optimization. Comput. Struct. 112\u2013113, 283\u2013294 (2012). https:\/\/doi.org\/10.1016\/j.compstruc.2012.09.003","journal-title":"Comput. Struct."},{"key":"4881_CR37","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.ins.2012.08.023","volume":"222","author":"A Hatamlou","year":"2013","unstructured":"Hatamlou, A.: Black hole: a new heuristic optimization approach for data clustering. Inf. Sci. 222, 175\u2013184 (2013). https:\/\/doi.org\/10.1016\/j.ins.2012.08.023","journal-title":"Inf. Sci."},{"key":"4881_CR38","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1016\/j.knosys.2015.12.022","journal-title":"Knowl.-Based Syst."},{"key":"4881_CR39","doi-asserted-by":"publisher","first-page":"71","DOI":"10.4316\/AECE.2017.02010","volume":"17","author":"E Tanyildizi","year":"2017","unstructured":"Tanyildizi, E.: Golden sine algorithm: a novel math-inspired algorithm. Adv. Electr. Comp. Eng. 17, 71\u201378 (2017). https:\/\/doi.org\/10.4316\/AECE.2017.02010","journal-title":"Adv. Electr. Comp. Eng."},{"key":"4881_CR40","doi-asserted-by":"publisher","first-page":"9329","DOI":"10.1007\/s10462-023-10403-9","volume":"56","author":"M Abdel-Basset","year":"2023","unstructured":"Abdel-Basset, M., El-Shahat, D., Jameel, M., Abouhawwash, M.: Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems. Artif. Intell. Rev. 56, 9329\u20139400 (2023). https:\/\/doi.org\/10.1007\/s10462-023-10403-9","journal-title":"Artif. Intell. Rev."},{"key":"4881_CR41","doi-asserted-by":"crossref","unstructured":"Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation. 76, p.60\u201368 (2001).","DOI":"10.1177\/003754970107600201"},{"key":"4881_CR42","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.matcom.2022.08.017","volume":"204","author":"Q He","year":"2023","unstructured":"He, Q., Liu, H., Ding, G., Tu, L.: A modified L\u00e9vy flight distribution for solving high-dimensional numerical optimization problems. Math. Comput. Simul 204, 376\u2013400 (2023). https:\/\/doi.org\/10.1016\/j.matcom.2022.08.017","journal-title":"Math. Comput. Simul"},{"key":"4881_CR43","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-030-04067-3_6","volume-title":"Metaheuristics: Outlines, MATLAB codes and examples","author":"A Kaveh","year":"2019","unstructured":"Kaveh, A., Bakhshpoori, T.: Imperialist competitive algorithm. In: Kaveh, A., Bakhshpoori, T. (eds.) Metaheuristics: Outlines, MATLAB codes and examples, pp. 51\u201365. Springer international publishing, Cham (2019)"},{"key":"4881_CR44","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s40747-016-0022-8","volume":"2","author":"S Satapathy","year":"2016","unstructured":"Satapathy, S., Naik, A.: Social group optimization (SGO): a new population evolutionary optimization technique. Complex Intell. Syst. 2, 173\u2013203 (2016). https:\/\/doi.org\/10.1007\/s40747-016-0022-8","journal-title":"Complex Intell. Syst."},{"key":"4881_CR45","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1007\/s00521-016-2379-4","volume":"28","author":"TT Huan","year":"2017","unstructured":"Huan, T.T., Kulkarni, A.J., Kanesan, J., Huang, C.J., Abraham, A.: Ideology algorithm: a socio-inspired optimization methodology. Neural Comput. & Applic. 28, 845\u2013876 (2017). https:\/\/doi.org\/10.1007\/s00521-016-2379-4","journal-title":"Neural Comput. & Applic."},{"key":"4881_CR46","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.engstruct.2018.05.085","volume":"171","author":"M Farshchin","year":"2018","unstructured":"Farshchin, M., Maniat, M., Camp, C.V., Pezeshk, S.: School based optimization algorithm for design of steel frames. Eng. Struct. 171, 326\u2013335 (2018). https:\/\/doi.org\/10.1016\/j.engstruct.2018.05.085","journal-title":"Eng. Struct."},{"key":"4881_CR47","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.future.2017.10.052","volume":"81","author":"M Kumar","year":"2018","unstructured":"Kumar, M., Kulkarni, A.J., Satapathy, S.C.: Socio evolution & learning optimization algorithm: a socio-inspired optimization methodology. Futur. Gener. Comput. Syst. 81, 252\u2013272 (2018). https:\/\/doi.org\/10.1016\/j.future.2017.10.052","journal-title":"Futur. Gener. Comput. Syst."},{"key":"4881_CR48","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1007\/s10489-017-0903-6","volume":"47","author":"SJ Mousavirad","year":"2017","unstructured":"Mousavirad, S.J., Ebrahimpour-Komleh, H.: Human mental search: a new population-based metaheuristic optimization algorithm. Appl. Intell. 47, 850\u2013887 (2017). https:\/\/doi.org\/10.1007\/s10489-017-0903-6","journal-title":"Appl. Intell."},{"key":"4881_CR49","doi-asserted-by":"publisher","first-page":"102804","DOI":"10.1016\/j.advengsoft.2020.102804","volume":"146","author":"B Das","year":"2020","unstructured":"Das, B., Mukherjee, V., Das, D.: Student psychology based optimization algorithm: a new population based optimization algorithm for solving optimization problems. Adv. Eng. Softw. 146, 102804 (2020). https:\/\/doi.org\/10.1016\/j.advengsoft.2020.102804","journal-title":"Adv. Eng. Softw."},{"key":"4881_CR50","doi-asserted-by":"publisher","first-page":"105709","DOI":"10.1016\/j.knosys.2020.105709","volume":"195","author":"Q Askari","year":"2020","unstructured":"Askari, Q., Younas, I., Saeed, M.: Political optimizer: a novel socio-inspired meta-heuristic for global optimization. Knowl.-Based Syst. 195, 105709 (2020). https:\/\/doi.org\/10.1016\/j.knosys.2020.105709","journal-title":"Knowl.-Based Syst."},{"key":"4881_CR51","doi-asserted-by":"publisher","first-page":"121597","DOI":"10.1016\/j.eswa.2023.121597","volume":"237","author":"D Zhu","year":"2024","unstructured":"Zhu, D., Wang, S., Zhou, C., Yan, S., Xue, J.: Human memory optimization algorithm: a memory-inspired optimizer for global optimization problems. Expert Syst. Appl. 237, 121597 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2023.121597","journal-title":"Expert Syst. Appl."},{"key":"4881_CR52","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN\u201995 - International Conference on Neural Networks (1995)"},{"key":"4881_CR53","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Glob. Optim. 39, 459\u2013471 (2007). https:\/\/doi.org\/10.1007\/s10898-007-9149-x","journal-title":"J. Glob. Optim."},{"key":"4881_CR54","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46\u201361 (2014). https:\/\/doi.org\/10.1016\/j.advengsoft.2013.12.007","journal-title":"Adv. Eng. Softw."},{"key":"4881_CR55","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","volume":"83","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili, S.: The ant lion optimizer. Adv. Eng. Softw. 83, 80\u201398 (2015). https:\/\/doi.org\/10.1016\/j.advengsoft.2015.01.010","journal-title":"Adv. Eng. Softw."},{"key":"4881_CR56","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compstruc.2016.03.001","volume":"169","author":"A Askarzadeh","year":"2016","unstructured":"Askarzadeh, A.: A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Comput. Struct. 169, 1\u201312 (2016). https:\/\/doi.org\/10.1016\/j.compstruc.2016.03.001","journal-title":"Comput. Struct."},{"key":"4881_CR57","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.optcom.2015.06.045","volume":"355","author":"G Wang","year":"2015","unstructured":"Wang, G.: Highly efficient third-harmonic generation from resonant intersubband transitions in core\/shell spherical quantum dots. Optic. Commun. 355, 1\u20135 (2015). https:\/\/doi.org\/10.1016\/j.optcom.2015.06.045","journal-title":"Optic. Commun."},{"key":"4881_CR58","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1016\/j.advengsoft.2016.01.008","journal-title":"Adv. Eng. Softw."},{"key":"4881_CR59","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.swevo.2018.02.013","volume":"44","author":"M Jain","year":"2019","unstructured":"Jain, M., Singh, V., Rani, A.: A novel nature-inspired algorithm for optimization: squirrel search algorithm. Swarm Evol. Comput. 44, 148\u2013175 (2019). https:\/\/doi.org\/10.1016\/j.swevo.2018.02.013","journal-title":"Swarm Evol. Comput."},{"key":"4881_CR60","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1016\/j.future.2019.02.028","journal-title":"Futur. Gener. Comput. Syst."},{"key":"4881_CR61","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113377","volume":"152","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi, A., Heidarinejad, M., Mirjalili, S., Gandomi, A.H.: Marine predators algorithm: a nature-inspired metaheuristic. Expert Syst. Appl. 152, 113377 (2020). https:\/\/doi.org\/10.1016\/j.eswa.2020.113377","journal-title":"Expert Syst. Appl."},{"key":"4881_CR62","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.knosys.2018.11.024","volume":"165","author":"G Dhiman","year":"2019","unstructured":"Dhiman, G., Kumar, V.: Seagull optimization algorithm: theory and its applications for large-scale industrial engineering problems. Knowl.-Based Syst. 165, 169\u2013196 (2019). https:\/\/doi.org\/10.1016\/j.knosys.2018.11.024","journal-title":"Knowl.-Based Syst."},{"key":"4881_CR63","doi-asserted-by":"publisher","first-page":"107250","DOI":"10.1016\/j.cie.2021.107250","volume":"157","author":"L Abualigah","year":"2021","unstructured":"Abualigah, L., Yousri, D., Abd Elaziz, M., Ewees, A.A., Al-qaness, M.A.A., Gandomi, A.H.: Aquila optimizer: a novel meta-heuristic optimization algorithm. Comput. Indust. Eng. 157, 107250 (2021). https:\/\/doi.org\/10.1016\/j.cie.2021.107250","journal-title":"Comput. Indust. Eng."},{"key":"4881_CR64","doi-asserted-by":"publisher","first-page":"114570","DOI":"10.1016\/j.cma.2022.114570","volume":"391","author":"JO Agushaka","year":"2022","unstructured":"Agushaka, J.O., Ezugwu, A.E., Abualigah, L.: Dwarf mongoose optimization algorithm. Comput. Methods Appl. Mech. Eng. 391, 114570 (2022). https:\/\/doi.org\/10.1016\/j.cma.2022.114570","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"4881_CR65","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110248","volume":"262","author":"M Abdel-Basset","year":"2023","unstructured":"Abdel-Basset, M., Mohamed, R., Jameel, M., Abouhawwash, M.: Nutcracker optimizer: a novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems. Knowl.-Based Syst. 262, 110248 (2023). https:\/\/doi.org\/10.1016\/j.knosys.2022.110248","journal-title":"Knowl.-Based Syst."},{"key":"4881_CR66","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1007\/s00366-022-01604-x","volume":"39","author":"A Seyyedabbasi","year":"2023","unstructured":"Seyyedabbasi, A., Kiani, F.: Sand cat swarm optimization: a nature-inspired algorithm to solve global optimization problems. Eng. Comput. 39, 2627\u20132651 (2023). https:\/\/doi.org\/10.1007\/s00366-022-01604-x","journal-title":"Eng. Comput."},{"key":"4881_CR67","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110011","volume":"259","author":"M Dehghani","year":"2023","unstructured":"Dehghani, M., Montazeri, Z., Trojovsk\u00e1, E., Trojovsk\u00fd, P.: Coati Optimization Algorithm: a new bio-inspired metaheuristic algorithm for solving optimization problems. Knowl.-Based Syst. 259, 110011 (2023). https:\/\/doi.org\/10.1016\/j.knosys.2022.110011","journal-title":"Knowl.-Based Syst."},{"key":"4881_CR68","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108320","volume":"242","author":"FA Hashim","year":"2022","unstructured":"Hashim, F.A., Hussien, A.G.: Snake optimizer: a novel meta-heuristic optimization algorithm. Knowl.-Based Syst. 242, 108320 (2022). https:\/\/doi.org\/10.1016\/j.knosys.2022.108320","journal-title":"Knowl.-Based Syst."},{"key":"4881_CR69","doi-asserted-by":"publisher","first-page":"1791","DOI":"10.1007\/s42235-022-00330-w","volume":"20","author":"G Hu","year":"2023","unstructured":"Hu, G., Yang, R., Abbas, M., Wei, G.: BEESO: multi-strategy boosted snake-inspired optimizer for engineering applications. J. Bionic Eng. 20, 1791\u20131827 (2023). https:\/\/doi.org\/10.1007\/s42235-022-00330-w","journal-title":"J. Bionic Eng."},{"key":"4881_CR70","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120594","volume":"230","author":"L Yao","year":"2023","unstructured":"Yao, L., Yuan, P., Tsai, C.-Y., Zhang, T., Lu, Y., Ding, S.: ESO: An enhanced snake optimizer for real-world engineering problems. Expert Syst. Appl. 230, 120594 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2023.120594","journal-title":"Expert Syst. Appl."},{"key":"4881_CR71","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120602","volume":"231","author":"C Wang","year":"2023","unstructured":"Wang, C., Jiao, S., Li, Y., Zhang, Q.: Capacity optimization of a hybrid energy storage system considering Wind-Solar reliability evaluation based on a novel multi-strategy snake optimization algorithm. Expert Syst. Appl. 231, 120602 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2023.120602","journal-title":"Expert Syst. Appl."},{"key":"4881_CR72","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.130529","volume":"293","author":"B Yang","year":"2024","unstructured":"Yang, B., Li, M., Qin, R., Luo, E., Duan, J., Liu, B., Wang, Y., Wang, J., Jiang, L.: Extracted power optimization of hybrid wind-wave energy converters array layout via enhanced snake optimizer. Energy 293, 130529 (2024). https:\/\/doi.org\/10.1016\/j.energy.2024.130529","journal-title":"Energy"},{"key":"4881_CR73","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104718","volume":"84","author":"R Abu Khurma","year":"2023","unstructured":"Abu Khurma, R., Albashish, D., Braik, M., Alzaqebah, A., Qasem, A., Adwan, O.: An augmented snake optimizer for diseases and COVID-19 diagnosis. Biomed. Signal Process. Control 84, 104718 (2023). https:\/\/doi.org\/10.1016\/j.bspc.2023.104718","journal-title":"Biomed. Signal Process. Control"},{"key":"4881_CR74","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124624","volume":"255","author":"H Song","year":"2024","unstructured":"Song, H., Wang, J., Bei, J., Wang, M.: Modified snake optimizer based multi-level thresholding for color image segmentation of agricultural diseases. Expert Syst. Appl. 255, 124624 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2024.124624","journal-title":"Expert Syst. Appl."},{"key":"4881_CR75","doi-asserted-by":"publisher","first-page":"2351","DOI":"10.3390\/math10132351","volume":"10","author":"I Al-Shourbaji","year":"2022","unstructured":"Al-Shourbaji, I., Kachare, P.H., Alshathri, S., Duraibi, S., Elnaim, B., Abd Elaziz, M.: An efficient parallel reptile search algorithm and snake optimizer approach for feature selection. Mathematics 10, 2351 (2022). https:\/\/doi.org\/10.3390\/math10132351","journal-title":"Mathematics"},{"key":"4881_CR76","doi-asserted-by":"publisher","first-page":"1959","DOI":"10.1007\/s12083-023-01487-9","volume":"16","author":"D Samiayya","year":"2023","unstructured":"Samiayya, D., Radhika, S., Chandrasekar, A.: An optimal model for enhancing network lifetime and cluster head selection using hybrid snake whale optimization. Peer-to-Peer Netw. Appl. 16, 1959\u20131974 (2023). https:\/\/doi.org\/10.1007\/s12083-023-01487-9","journal-title":"Peer-to-Peer Netw. Appl."},{"key":"4881_CR77","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert, D.H., Macready, W.G.: Macready, W.G.: No free lunch theorems for optimization. IEEE transactions on evolutionary computation 1(1), 67\u201382. IEEE Trans. Evolut. Comput. 1, 67\u201382 (1997). https:\/\/doi.org\/10.1109\/4235.585893","journal-title":"IEEE Trans. Evolut. Comput."},{"key":"4881_CR78","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117629","volume":"205","author":"C Ma","year":"2022","unstructured":"Ma, C., Huang, H., Fan, Q., Wei, J., Du, Y., Gao, W.: Grey wolf optimizer based on aquila exploration method. Expert Syst. Appl. 205, 117629 (2022). https:\/\/doi.org\/10.1016\/j.eswa.2022.117629","journal-title":"Expert Syst. Appl."},{"key":"4881_CR79","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120904","volume":"233","author":"S Fu","year":"2023","unstructured":"Fu, S., Huang, H., Ma, C., Wei, J., Li, Y., Fu, Y.: Improved dwarf mongoose optimization algorithm using novel nonlinear control and exploration strategies. Expert Syst. Appl. 233, 120904 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2023.120904","journal-title":"Expert Syst. Appl."},{"key":"4881_CR80","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107408","volume":"158","author":"B Abdollahzadeh","year":"2021","unstructured":"Abdollahzadeh, B., Gharehchopogh, F.S., Mirjalili, S.: African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems. Comput. Ind. Eng. 158, 107408 (2021). https:\/\/doi.org\/10.1016\/j.cie.2021.107408","journal-title":"Comput. Ind. Eng."},{"key":"4881_CR81","doi-asserted-by":"publisher","first-page":"5887","DOI":"10.1002\/int.22535","volume":"36","author":"B Abdollahzadeh","year":"2021","unstructured":"Abdollahzadeh, B., Soleimanian Gharehchopogh, F., Mirjalili, S.: Artificial gorilla troops optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems. Int. J. Intell. Syst. 36, 5887\u20135958 (2021). https:\/\/doi.org\/10.1002\/int.22535","journal-title":"Int. J. Intell. Syst."},{"key":"4881_CR82","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10567-4","author":"H Jia","year":"2023","unstructured":"Jia, H., Rao, H., Wen, C., Mirjalili, S.: Crayfish optimization algorithm. Artif. Intell. Rev. (2023). https:\/\/doi.org\/10.1007\/s10462-023-10567-4","journal-title":"Artif. Intell. Rev."},{"key":"4881_CR83","doi-asserted-by":"publisher","first-page":"12745","DOI":"10.1007\/s10586-024-04545-w","volume":"27","author":"A Mohammadzadeh","year":"2024","unstructured":"Mohammadzadeh, A., Mirjalili, S.: Eel and grouper optimizer: a nature-inspired optimization algorithm. Cluster Comput. 27, 12745\u201312786 (2024). https:\/\/doi.org\/10.1007\/s10586-024-04545-w","journal-title":"Cluster Comput."},{"key":"4881_CR84","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s10462-024-10723-4","volume":"57","author":"J Wang","year":"2024","unstructured":"Wang, J., Wang, W., Hu, X., Qiu, L., Zang, H.: Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems. Artif. Intell. Rev. 57, 98 (2024). https:\/\/doi.org\/10.1007\/s10462-024-10723-4","journal-title":"Artif. Intell. Rev."},{"key":"4881_CR85","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121219","volume":"236","author":"F Zhu","year":"2024","unstructured":"Zhu, F., Li, G., Tang, H., Li, Y., Lv, X., Wang, X.: Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems. Expert Syst. Appl. 236, 121219 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2023.121219","journal-title":"Expert Syst. Appl."},{"key":"4881_CR86","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2020.100693","volume":"56","author":"A Kumar","year":"2020","unstructured":"Kumar, A., Wu, G., Ali, M.Z., Mallipeddi, R., Suganthan, P.N., Das, S.: A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm Evol. Comput. 56, 100693 (2020). https:\/\/doi.org\/10.1016\/j.swevo.2020.100693","journal-title":"Swarm Evol. Comput."},{"key":"4881_CR87","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/s10462-024-10716-3","volume":"57","author":"S Fu","year":"2024","unstructured":"Fu, S., Li, K., Huang, H., Ma, C., Fan, Q., Zhu, Y.: Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D\/3D UAV path planning and engineering design problems. Artif. Intell. Rev. 57, 134 (2024). https:\/\/doi.org\/10.1007\/s10462-024-10716-3","journal-title":"Artif. Intell. Rev."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04881-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04881-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04881-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T06:32:11Z","timestamp":1757140331000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04881-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,25]]},"references-count":87,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["4881"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04881-x","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,25]]},"assertion":[{"value":"23 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 February 2025","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 author declare no competing interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interest"}}],"article-number":"268"}}