{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:28:58Z","timestamp":1777735738735,"version":"3.51.4"},"reference-count":71,"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\/s10586-024-04713-y","type":"journal-article","created":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T14:00:32Z","timestamp":1740492032000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A multi-strategy improved Coati optimization algorithm for solving global optimization problems"],"prefix":"10.1007","volume":"28","author":[{"given":"Xin","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yage","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youfa","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haisong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianan","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,25]]},"reference":[{"issue":"3","key":"4713_CR1","doi-asserted-by":"publisher","first-page":"2237","DOI":"10.1007\/s10462-019-09732-5","volume":"53","author":"HA Alsattar","year":"2020","unstructured":"Alsattar, H.A., Zaidan, A.A., Zaidan, B.B.: Novel meta-heuristic bald eagle search optimisation algorithm. Artif. Intell. Rev. 53(3), 2237\u20132264 (2020). https:\/\/doi.org\/10.1007\/s10462-019-09732-5","journal-title":"Artif. Intell. Rev."},{"key":"4713_CR2","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.ins.2013.02.041","volume":"237","author":"I Boussa\u00efd","year":"2013","unstructured":"Boussa\u00efd, I., Lepagnot, J., Siarry, P.: A survey on optimization metaheuristics. Inf. Sci. 237, 82\u2013117 (2013). https:\/\/doi.org\/10.1016\/j.ins.2013.02.041","journal-title":"Inf. Sci."},{"key":"4713_CR3","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.matcom.2020.09.027","volume":"181","author":"H Ren","year":"2021","unstructured":"Ren, H., Li, J., Chen, H., Li, C.: Adaptive levy-assisted salp swarm algorithm: analysis and optimization case studies. Math. Comput. Simul 181, 380\u2013409 (2021). https:\/\/doi.org\/10.1016\/j.matcom.2020.09.027","journal-title":"Math. Comput. Simul"},{"issue":"1","key":"4713_CR4","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.: No free lunch theorems for optimization. IEEE Trans. on Evol. Comput. 1(1), 67\u201382 (1997). https:\/\/doi.org\/10.1109\/4235.585893","journal-title":"IEEE Trans. on Evol. Comput."},{"key":"4713_CR5","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1016\/j.asoc.2015.02.014","volume":"30","author":"JJQ Yu","year":"2015","unstructured":"Yu, J.J.Q., Li, V.O.K.: A social spider algorithm for global optimization. Appl. Soft Comput. 30, 614\u2013627 (2015). https:\/\/doi.org\/10.1016\/j.asoc.2015.02.014","journal-title":"Appl. Soft Comput."},{"key":"4713_CR6","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. Sys. 36, 5887\u20135958 (2021). https:\/\/doi.org\/10.1002\/int.22535","journal-title":"Int. J. Intell. Sys."},{"key":"4713_CR7","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."},{"issue":"1","key":"4713_CR8","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1109\/101.17235","volume":"5","author":"RA Rutenbar","year":"1989","unstructured":"Rutenbar, R.A.: Simulated annealing algorithms: an overview. IEEE Circ. Devices Mag. 5(1), 19\u201326 (1989). https:\/\/doi.org\/10.1109\/101.17235","journal-title":"IEEE Circ. Devices Mag."},{"key":"4713_CR9","doi-asserted-by":"publisher","first-page":"110454","DOI":"10.1016\/j.knosys.2023.110454","volume":"268","author":"M Abdel-Basset","year":"2023","unstructured":"Abdel-Basset, M., Mohamed, R., Azeem, S.A.A., Jameel, M., Abouhawwash, M.: Kepler optimization algorithm: a new metaheuristic algorithm inspired by Kepler\u2019s laws of planetary motion. Knowl.-Based Syst. 268, 110454 (2023). https:\/\/doi.org\/10.1016\/j.knosys.2023.110454","journal-title":"Knowl.-Based Syst."},{"issue":"1","key":"4713_CR10","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(1), 66\u201373 (1992)","journal-title":"Sci. Am."},{"issue":"2","key":"4713_CR11","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","volume":"13","author":"AK Qin","year":"2009","unstructured":"Qin, A.K., Huang, V.L., Suganthan, P.N.: Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans. Evol. Comput. 13(2), 398\u2013417 (2009). https:\/\/doi.org\/10.1109\/TEVC.2008.927706","journal-title":"IEEE Trans. Evol. Comput."},{"key":"4713_CR12","doi-asserted-by":"publisher","unstructured":"Kennedy, J., and Eberhart, R. C., \u201cA discrete binary version of the particle swarm algorithm,\u201d In Computational Cybernetics and Simulation 1997 IEEE International Conference on Systems, Man, and Cybernetics, (1997), vol.5, pp. 4104\u20134108 https:\/\/doi.org\/10.1109\/ICSMC.1997.637339.","DOI":"10.1109\/ICSMC.1997.637339"},{"issue":"4","key":"4713_CR13","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MCI.2006.329691","volume":"1","author":"M Dorigo","year":"2006","unstructured":"Dorigo, M., Birattari, M., Stutzle, T.: Ant colony optimization. IEEE Comput. Intell. Mag. 1(4), 28\u201339 (2006). https:\/\/doi.org\/10.1109\/MCI.2006.329691","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"3\u20134","key":"4713_CR14","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1177\/0020294020915727","volume":"56","author":"ZA Ali","year":"2023","unstructured":"Ali, Z.A., Zhangang, H., Zhengru, D.: Path planning of multiple UAVs using MMACO and DE algorithm in dynamic environment. Meas. Control 56(3\u20134), 459\u2013469 (2023). https:\/\/doi.org\/10.1177\/0020294020915727","journal-title":"Meas. Control"},{"issue":"5","key":"4713_CR15","doi-asserted-by":"publisher","first-page":"3403","DOI":"10.1016\/j.aej.2021.08.058","volume":"61","author":"D Di Caprio","year":"2022","unstructured":"Di Caprio, D., Ebrahimnejad, A., Alrezaamiri, H., Santos-Arteaga, F.J.: A novel ant colony algorithm for solving shortest path problems with fuzzy arc weights. Alex. Eng. J. 61(5), 3403\u20133415 (2022). https:\/\/doi.org\/10.1016\/j.aej.2021.08.058","journal-title":"Alex. Eng. J."},{"issue":"3","key":"4713_CR16","doi-asserted-by":"publisher","first-page":"6915","DOI":"10.4249\/scholarpedia.6915","volume":"5","author":"D Karaboga","year":"2010","unstructured":"Karaboga, D.: Artificial bee colony algorithm. Scholarpedia 5(3), 6915 (2010). https:\/\/doi.org\/10.4249\/scholarpedia.6915","journal-title":"Scholarpedia"},{"issue":"1","key":"4713_CR17","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s00366-011-0241-y","volume":"29","author":"AH Gandomi","year":"2013","unstructured":"Gandomi, A.H., Yang, X.-S., Alavi, A.H.: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng. Comput. 29(1), 17\u201335 (2013). https:\/\/doi.org\/10.1007\/s00366-011-0241-y","journal-title":"Eng. Comput."},{"key":"4713_CR18","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."},{"issue":"1","key":"4713_CR19","doi-asserted-by":"publisher","first-page":"89","DOI":"10.3233\/ICA-220693","volume":"30","author":"J Luo","year":"2023","unstructured":"Luo, J., He, F., Gao, X.: An enhanced grey wolf optimizer with fusion strategies for identifying the parameters of photovoltaic models. Integr. Comput.-Aided Eng. 30(1), 89\u2013104 (2023). https:\/\/doi.org\/10.3233\/ICA-220693","journal-title":"Integr. Comput.-Aided Eng."},{"issue":"2","key":"4713_CR20","doi-asserted-by":"publisher","first-page":"025018","DOI":"10.1088\/1361-6501\/ac9a61","volume":"34","author":"H Zhao","year":"2022","unstructured":"Zhao, H., Zhang, P., Zhang, R., Yao, R., Deng, W.: A novel performance trend prediction approach using ENBLS with GWO. Meas. Sci. Technol. 34(2), 025018 (2022). https:\/\/doi.org\/10.1088\/1361-6501\/ac9a61","journal-title":"Meas. Sci. Technol."},{"key":"4713_CR21","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.energy.2016.05.105","volume":"111","author":"T Jayabarathi","year":"2016","unstructured":"Jayabarathi, T., Raghunathan, T., Adarsh, B.R., Suganthan, P.N.: Economic dispatch using hybrid grey wolf optimizer. Energy 111, 630\u2013641 (2016). https:\/\/doi.org\/10.1016\/j.energy.2016.05.105","journal-title":"Energy"},{"key":"4713_CR22","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":"4713_CR23","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili, S., Gandomi, A.H., Mirjalili, S.Z., Saremi, S., Faris, H., Mirjalili, S.M.: Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv. Eng. Softw. 114, 163\u2013191 (2017). https:\/\/doi.org\/10.1016\/j.advengsoft.2017.07.002","journal-title":"Adv. Eng. Softw."},{"key":"4713_CR24","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.knosys.2018.06.001","volume":"159","author":"G Dhiman","year":"2018","unstructured":"Dhiman, G., Kumar, V.: Emperor penguin optimizer: a bio-inspired algorithm for engineering problems. Knowl.-Based Syst. 159, 20\u201350 (2018). https:\/\/doi.org\/10.1016\/j.knosys.2018.06.001","journal-title":"Knowl.-Based Syst."},{"issue":"2","key":"4713_CR25","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s12293-016-0212-3","volume":"10","author":"G-G Wang","year":"2018","unstructured":"Wang, G.-G.: Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems. Memet. Comp. 10(2), 151\u2013164 (2018). https:\/\/doi.org\/10.1007\/s12293-016-0212-3","journal-title":"Memet. Comp."},{"issue":"3","key":"4713_CR26","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/s00500-018-3102-4","volume":"23","author":"S Arora","year":"2019","unstructured":"Arora, S., Singh, S.: Butterfly optimization algorithm: a novel approach for global optimization. Soft. Comput. 23(3), 715\u2013734 (2019). https:\/\/doi.org\/10.1007\/s00500-018-3102-4","journal-title":"Soft. Comput."},{"key":"4713_CR27","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":"4713_CR28","doi-asserted-by":"publisher","first-page":"103249","DOI":"10.1016\/j.engappai.2019.103249","volume":"87","author":"V Hayyolalam","year":"2020","unstructured":"Hayyolalam, V., Pourhaji Kazem, A.A.: Black widow optimization algorithm: a novel meta-heuristic approach for solving engineering optimization problems. Eng. Appl. Artif. Intell. 87, 103249 (2020). https:\/\/doi.org\/10.1016\/j.engappai.2019.103249","journal-title":"Eng. Appl. Artif. Intell."},{"key":"4713_CR29","doi-asserted-by":"publisher","first-page":"113338","DOI":"10.1016\/j.eswa.2020.113338","volume":"149","author":"M Khishe","year":"2020","unstructured":"Khishe, M., Mosavi, M.R.: Chimp optimization algorithm. Expert Syst. Appl. 149, 113338 (2020). https:\/\/doi.org\/10.1016\/j.eswa.2020.113338","journal-title":"Expert Syst. Appl."},{"key":"4713_CR30","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.matcom.2021.08.013","volume":"192","author":"FA Hashim","year":"2022","unstructured":"Hashim, F.A., Houssein, E.H., Hussain, K., Mabrouk, M.S., Al-Atabany, W.: Honey badger algorithm: new metaheuristic algorithm for solving optimization problems. Math. Comput. Simul 192, 84\u2013110 (2022). https:\/\/doi.org\/10.1016\/j.matcom.2021.08.013","journal-title":"Math. Comput. Simul"},{"key":"4713_CR31","doi-asserted-by":"publisher","first-page":"107408","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":"4713_CR32","doi-asserted-by":"publisher","first-page":"113377","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":"4713_CR33","doi-asserted-by":"publisher","first-page":"114194","DOI":"10.1016\/j.cma.2021.114194","volume":"388","author":"W Zhao","year":"2022","unstructured":"Zhao, W., Wang, L., Mirjalili, S.: Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications. Comput. Methods Appl. Mech. Eng. 388, 114194 (2022). https:\/\/doi.org\/10.1016\/j.cma.2021.114194","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"4713_CR34","doi-asserted-by":"publisher","first-page":"103541","DOI":"10.1016\/j.engappai.2020.103541","volume":"90","author":"S Kaur","year":"2020","unstructured":"Kaur, S., Awasthi, L.K., Sangal, A.L., Dhiman, G.: Tunicate swarm algorithm: a new bio-inspired based metaheuristic paradigm for global optimization. Eng. Appl. Artif. Intell. 90, 103541 (2020). https:\/\/doi.org\/10.1016\/j.engappai.2020.103541","journal-title":"Eng. Appl. Artif. Intell."},{"key":"4713_CR35","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.future.2020.03.055","volume":"111","author":"S Li","year":"2020","unstructured":"Li, S., Chen, H., Wang, M., Heidari, A.A., Mirjalili, S.: Slime mould algorithm: a new method for stochastic optimization. Futur. Gener. Comput. Syst. 111, 300\u2013323 (2020). https:\/\/doi.org\/10.1016\/j.future.2020.03.055","journal-title":"Futur. Gener. Comput. Syst."},{"key":"4713_CR36","doi-asserted-by":"publisher","first-page":"116924","DOI":"10.1016\/j.eswa.2022.116924","volume":"198","author":"N Chopra","year":"2022","unstructured":"Chopra, N., Mohsin Ansari, M.: Golden jackal optimization: a novel nature-inspired optimizer for engineering applications. Expert Syst. Appl. 198, 116924 (2022). https:\/\/doi.org\/10.1016\/j.eswa.2022.116924","journal-title":"Expert Syst. Appl."},{"key":"4713_CR37","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. Ind. Eng. 157, 107250 (2021). https:\/\/doi.org\/10.1016\/j.cie.2021.107250","journal-title":"Comput. Ind. Eng."},{"key":"4713_CR38","doi-asserted-by":"publisher","first-page":"108320","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":"4713_CR39","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 in Appl. Mech. and Eng. 391, 114570 (2022). https:\/\/doi.org\/10.1016\/j.cma.2022.114570","journal-title":"Comput. Methods in Appl. Mech. and Eng."},{"issue":"22","key":"4713_CR40","doi-asserted-by":"publisher","first-page":"20017","DOI":"10.1007\/s00521-022-07530-9","volume":"34","author":"AE Ezugwu","year":"2022","unstructured":"Ezugwu, A.E., Agushaka, J.O., Abualigah, L., Mirjalili, S., Gandomi, A.H.: Prairie dog optimization algorithm. Neural Comput. & Applic. 34(22), 20017\u201320065 (2022). https:\/\/doi.org\/10.1007\/s00521-022-07530-9","journal-title":"Neural Comput. & Applic."},{"key":"4713_CR41","doi-asserted-by":"publisher","first-page":"108457","DOI":"10.1016\/j.knosys.2022.108457","volume":"243","author":"M Braik","year":"2022","unstructured":"Braik, M., Hammouri, A., Atwan, J., Al-Betar, M.A., Awadallah, M.A.: White shark optimizer: a novel bio-inspired meta-heuristic algorithm for global optimization problems. Knowl.-Based Syst. 243, 108457 (2022). https:\/\/doi.org\/10.1016\/j.knosys.2022.108457","journal-title":"Knowl.-Based Syst."},{"issue":"10","key":"4713_CR42","doi-asserted-by":"publisher","first-page":"11675","DOI":"10.1007\/s10462-023-10446-y","volume":"56","author":"M Abdel-Basset","year":"2023","unstructured":"Abdel-Basset, M., Mohamed, R., Jameel, M., Abouhawwash, M.: Spider wasp optimizer: a novel meta-heuristic optimization algorithm. Artif. Intell. Rev. 56(10), 11675\u201311738 (2023). https:\/\/doi.org\/10.1007\/s10462-023-10446-y","journal-title":"Artif. Intell. Rev."},{"key":"4713_CR43","doi-asserted-by":"publisher","first-page":"110248","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":"4713_CR44","doi-asserted-by":"publisher","first-page":"25073","DOI":"10.1109\/ACCESS.2022.3153493","volume":"10","author":"SLV Tummala","year":"2022","unstructured":"Tummala, S.L.V., Ayyarao, et al.: War strategy optimization algorithm: a new effective metaheuristic algorithm for global optimization. IEEE Access 10, 25073\u201325105 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3153493","journal-title":"IEEE Access"},{"key":"4713_CR45","doi-asserted-by":"publisher","first-page":"106711","DOI":"10.1016\/j.knosys.2020.106711","volume":"213","author":"F MiarNaeimi","year":"2021","unstructured":"MiarNaeimi, F., Azizyan, G., Rashki, M.: Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems. Knowl.-Based Syst. 213, 106711 (2021). https:\/\/doi.org\/10.1016\/j.knosys.2020.106711","journal-title":"Knowl.-Based Syst."},{"key":"4713_CR46","doi-asserted-by":"publisher","first-page":"107532","DOI":"10.1016\/j.engappai.2023.107532","volume":"128","author":"R Sowmya","year":"2024","unstructured":"Sowmya, R., Premkumar, M., Jangir, P.: Newton-Raphson-based optimizer: a new population-based metaheuristic algorithm for continuous optimization problems. Eng. Appl. Artif. Intell. 128, 107532 (2024). https:\/\/doi.org\/10.1016\/j.engappai.2023.107532","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"4","key":"4713_CR47","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(4), 98 (2024). https:\/\/doi.org\/10.1007\/s10462-024-10723-4","journal-title":"Artif. Intell. Rev."},{"key":"4713_CR48","doi-asserted-by":"publisher","first-page":"108064","DOI":"10.1016\/j.compbiomed.2024.108064","volume":"172","author":"J Lian","year":"2024","unstructured":"Lian, J., et al.: Parrot optimizer: algorithm and applications to medical problems. Comput. Biol. Med. 172, 108064 (2024). https:\/\/doi.org\/10.1016\/j.compbiomed.2024.108064","journal-title":"Comput. Biol. Med."},{"key":"4713_CR49","doi-asserted-by":"publisher","first-page":"110011","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":"4713_CR50","doi-asserted-by":"publisher","first-page":"121638","DOI":"10.1016\/j.apenergy.2023.121638","volume":"349","author":"M Abou Houran","year":"2023","unstructured":"Abou Houran, M., Salman Bukhari, S.M., Zafar, M.H., Mansoor, M., Chen, W.: COA-CNN-LSTM: coati optimization algorithm-based hybrid deep learning model for PV\/wind power forecasting in smart grid applications. Appl. Energy 349, 121638 (2023). https:\/\/doi.org\/10.1016\/j.apenergy.2023.121638","journal-title":"Appl. Energy"},{"key":"4713_CR51","doi-asserted-by":"publisher","first-page":"129069","DOI":"10.1016\/j.energy.2023.129069","volume":"283","author":"HM Hasanien","year":"2023","unstructured":"Hasanien, H.M., Alsaleh, I., Alassaf, A., Alateeq, A.: Enhanced coati optimization algorithm-based optimal power flow including renewable energy uncertainties and electric vehicles. Energy 283, 129069 (2023). https:\/\/doi.org\/10.1016\/j.energy.2023.129069","journal-title":"Energy"},{"key":"4713_CR52","doi-asserted-by":"publisher","first-page":"112367","DOI":"10.1016\/j.est.2024.112367","volume":"93","author":"AS Mekhamer","year":"2024","unstructured":"Mekhamer, A.S., Hasanien, H.M., Alharbi, M., Tostado-V\u00e9liz, M., Jurado, F., Zaky, D.A.: Coati optimization algorithm-based optimal frequency control of power systems including storage devices and electric vehicles. J. Energy Storage 93, 112367 (2024). https:\/\/doi.org\/10.1016\/j.est.2024.112367","journal-title":"J. Energy Storage"},{"key":"4713_CR53","doi-asserted-by":"publisher","first-page":"110704","DOI":"10.1016\/j.asoc.2023.110704","volume":"146","author":"K Thirumoorthy","year":"2023","unstructured":"Thirumoorthy, K.: A two-stage feature selection approach using hybrid quasi-opposition self-adaptive coati optimization algorithm for breast cancer classification. Appl. Soft Comput. 146, 110704 (2023). https:\/\/doi.org\/10.1016\/j.asoc.2023.110704","journal-title":"Appl. Soft Comput."},{"key":"4713_CR54","doi-asserted-by":"publisher","first-page":"124581","DOI":"10.1016\/j.eswa.2024.124581","volume":"255","author":"MM Emam","year":"2024","unstructured":"Emam, M.M., Houssein, E.H., Samee, N.A., Alohali, M.A., Hosney, M.E.: Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved coati optimization algorithm. Expert Syst. Appl. 255, 124581 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2024.124581","journal-title":"Expert Syst. Appl."},{"key":"4713_CR55","doi-asserted-by":"publisher","first-page":"101765","DOI":"10.1016\/j.jestch.2024.101765","volume":"56","author":"H Ba\u015fak","year":"2024","unstructured":"Ba\u015fak, H.: Hybrid coati\u2013grey wolf optimization with application to tuning linear quadratic regulator controller of active suspension systems. Eng. Sci. Technol. Int. J. 56, 101765 (2024). https:\/\/doi.org\/10.1016\/j.jestch.2024.101765","journal-title":"Eng. Sci. Technol. Int. J."},{"key":"4713_CR56","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.asoc.2014.06.034","volume":"23","author":"H Hakl\u0131","year":"2014","unstructured":"Hakl\u0131, H., U\u011fuz, H.: A novel particle swarm optimization algorithm with levy flight. Appl. Soft Comput. 23, 333\u2013345 (2014). https:\/\/doi.org\/10.1016\/j.asoc.2014.06.034","journal-title":"Appl. Soft Comput."},{"key":"4713_CR57","doi-asserted-by":"publisher","first-page":"106328","DOI":"10.1016\/j.engappai.2023.106328","volume":"123","author":"X Zhang","year":"2023","unstructured":"Zhang, X., Wang, S.: Firefly search algorithm based on leader strategy. Eng. Appl. Artif. Intell. 123, 106328 (2023). https:\/\/doi.org\/10.1016\/j.engappai.2023.106328","journal-title":"Eng. Appl. Artif. Intell."},{"key":"4713_CR58","doi-asserted-by":"publisher","first-page":"103731","DOI":"10.1016\/j.engappai.2020.103731","volume":"94","author":"EH Houssein","year":"2020","unstructured":"Houssein, E.H., Saad, M.R., Hashim, F.A., Shaban, H., Hassaballah, M.: L\u00e9vy flight distribution: a new metaheuristic algorithm for solving engineering optimization problems. Eng. Appl. Artif. Intell. 94, 103731 (2020). https:\/\/doi.org\/10.1016\/j.engappai.2020.103731","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"14","key":"4713_CR59","doi-asserted-by":"publisher","first-page":"15997","DOI":"10.1007\/s11227-023-05246-8","volume":"79","author":"X Zhou","year":"2023","unstructured":"Zhou, X., Wang, F., Zhou, C., Shan, R.: The HSGWO-MPIO algorithm based on improved search capability. J. Supercomput. 79(14), 15997\u201316016 (2023). https:\/\/doi.org\/10.1007\/s11227-023-05246-8","journal-title":"J. Supercomput."},{"issue":"1","key":"4713_CR60","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1080\/00220973.1993.9943832","volume":"62","author":"DW Zimmerman","year":"1993","unstructured":"Zimmerman, D.W., Zumbo, B.D.: Relative power of the wilcoxon test, the friedman test, and repeated-measures ANOVA on ranks. J. Exp. Educ. 62(1), 75\u201386 (1993). https:\/\/doi.org\/10.1080\/00220973.1993.9943832","journal-title":"J. Exp. Educ."},{"issue":"2","key":"4713_CR61","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1109\/TCYB.2014.2339495","volume":"45","author":"M Yang","year":"2015","unstructured":"Yang, M., Li, C., Cai, Z., Guan, J.: Differential evolution with auto-enhanced population diversity. IEEE Trans. Cybern. 45(2), 302\u2013315 (2015). https:\/\/doi.org\/10.1109\/TCYB.2014.2339495","journal-title":"IEEE Trans. Cybern."},{"key":"4713_CR62","doi-asserted-by":"publisher","first-page":"49445","DOI":"10.1109\/ACCESS.2022.3172789","volume":"10","author":"E Trojovsk\u00e1","year":"2022","unstructured":"Trojovsk\u00e1, E., Dehghani, M., Trojovsk\u00fd, P.: Zebra optimization algorithm: a new bio-inspired optimization algorithm for solving optimization algorithm. IEEE Access 10, 49445\u201349473 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3172789","journal-title":"IEEE Access"},{"key":"4713_CR63","doi-asserted-by":"publisher","unstructured":"Awad, N. H., Ali, M. Z., and Suganthan, P. N., \u201cEnsemble sinusoidal differential covariance matrix adaptation with euclidean neighborhood for solving CEC2017 benchmark problems,\u201d In 2017 IEEE Congress on Evolutionary Computation (CEC), (2017), pp. 372\u2013379. https:\/\/doi.org\/10.1109\/CEC.2017.7969336.","DOI":"10.1109\/CEC.2017.7969336"},{"issue":"6","key":"4713_CR64","doi-asserted-by":"publisher","first-page":"2223","DOI":"10.1093\/jcde\/qwad095","volume":"10","author":"H Jia","year":"2023","unstructured":"Jia, H., Shi, S., Wu, D., Rao, H., Zhang, J., Abualigah, L.: Improve coati optimization algorithm for solving constrained engineering optimization problems. J. Comput. Des. Eng. 10(6), 2223\u20132250 (2023). https:\/\/doi.org\/10.1093\/jcde\/qwad095","journal-title":"J. Comput. Des. Eng."},{"issue":"7","key":"4713_CR65","doi-asserted-by":"publisher","first-page":"7305","DOI":"10.1007\/s11227-022-04959-6","volume":"79","author":"J Xue","year":"2023","unstructured":"Xue, J., Shen, B.: Dung beetle optimizer: a new meta-heuristic algorithm for global optimization. J. Supercomput. 79(7), 7305\u20137336 (2023). https:\/\/doi.org\/10.1007\/s11227-022-04959-6","journal-title":"J. Supercomput."},{"key":"4713_CR66","doi-asserted-by":"publisher","first-page":"h2053","DOI":"10.1136\/bmj.h2053","volume":"350","author":"P Sedgwick","year":"2015","unstructured":"Sedgwick, P.: A comparison of parametric and non-parametric statistical tests. BMJ 350, h2053 (2015). https:\/\/doi.org\/10.1136\/bmj.h2053","journal-title":"BMJ"},{"key":"4713_CR67","doi-asserted-by":"publisher","first-page":"100693","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 and Evol. Comput. 56, 100693 (2020). https:\/\/doi.org\/10.1016\/j.swevo.2020.100693","journal-title":"Swarm and Evol. Comput."},{"issue":"1","key":"4713_CR68","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1109\/TII.2012.2198665","volume":"9","author":"V Roberge","year":"2013","unstructured":"Roberge, V., Tarbouchi, M., Labonte, G.: Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning. IEEE Trans. Ind. Inf. 9(1), 132\u2013141 (2013). https:\/\/doi.org\/10.1109\/TII.2012.2198665","journal-title":"IEEE Trans. Ind. Inf."},{"key":"4713_CR69","unstructured":"Ke, G., et al., \u201cLightGBM: A highly efficient gradient boosting decision tree,\u201d In: I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, (eds.) Advances In neural information processing systems 30 (NIPS 2017), in Advances in Neural Information Processing Systems, vol. 30. La Jolla: Neural Information Processing Systems (nips), (2017). Accessed 23 Aug 2024."},{"key":"4713_CR70","doi-asserted-by":"publisher","first-page":"101084","DOI":"10.1016\/j.frl.2018.12.032","volume":"32","author":"X Sun","year":"2020","unstructured":"Sun, X., Liu, M., Sima, Z.: A novel cryptocurrency price trend forecasting model based on LightGBM. Finance Res. Lett. 32, 101084 (2020). https:\/\/doi.org\/10.1016\/j.frl.2018.12.032","journal-title":"Finance Res. Lett."},{"issue":"3","key":"4713_CR71","doi-asserted-by":"publisher","first-page":"1937","DOI":"10.1007\/s10462-020-09896-5","volume":"54","author":"C Bent\u00e9jac","year":"2021","unstructured":"Bent\u00e9jac, C., Cs\u00f6rg\u0151, A., Mart\u00ednez-Mu\u00f1oz, G.: A comparative analysis of gradient boosting algorithms. Artif. Intell. Rev. 54(3), 1937\u20131967 (2021). https:\/\/doi.org\/10.1007\/s10462-020-09896-5","journal-title":"Artif. Intell. Rev."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04713-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04713-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04713-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T06:48:05Z","timestamp":1757141285000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04713-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,25]]},"references-count":71,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["4713"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04713-y","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":"6 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 September 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 authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"264"}}