{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T05:18:36Z","timestamp":1778563116749,"version":"3.51.4"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s11042-022-14024-2","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T02:02:14Z","timestamp":1665367334000},"page":"21825-21863","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Kapur\u2019s entropy underwater image segmentation based on multi-strategy Manta ray foraging optimization"],"prefix":"10.1007","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9868-8103","authenticated-orcid":false,"given":"Donglin","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changjun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaxian","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoqiang","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"14024_CR1","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.eswa.2017.04.023","volume":"83","author":"M Abd El Aziz","year":"2017","unstructured":"Abd El Aziz M, Ewees AA, Hassanien AE (2017) Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Syst Appl 83:242\u2013256. https:\/\/doi.org\/10.1016\/j.eswa.2017.04.023","journal-title":"Expert Syst Appl"},{"key":"14024_CR2","doi-asserted-by":"publisher","first-page":"104105","DOI":"10.1016\/j.engappai.2020.104105","volume":"98","author":"M Abd Elaziz","year":"2021","unstructured":"Abd Elaziz M, Yousri D, Al-qaness MA, AbdelAty AM, Radwan AG, Ewees AA (2021) A Grunwald\u2013Letnikov based Manta ray foraging optimizer for global optimization and image segmentation. Eng Appl Artif Intell 98:104105. https:\/\/doi.org\/10.1016\/j.engappai.2020.104105","journal-title":"Eng Appl Artif Intell"},{"issue":"6","key":"14024_CR3","doi-asserted-by":"publisher","first-page":"3066","DOI":"10.5555\/2467341.2467507","volume":"13","author":"B Akay","year":"2013","unstructured":"Akay B (2013) A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding. Appl Soft Comput 13(6):3066\u20133091. https:\/\/doi.org\/10.5555\/2467341.2467507","journal-title":"Appl Soft Comput"},{"key":"14024_CR4","doi-asserted-by":"publisher","first-page":"106998","DOI":"10.1016\/j.epsr.2020.106998","volume":"192","author":"O Akdag","year":"2021","unstructured":"Akdag O, Yeroglu C (2021) Optimal directional overcurrent relay coordination using MRFO algorithm: A case study of adaptive protection of the distribution network of the Hatay province of Turkey. Electr Power Syst Res 192:106998. https:\/\/doi.org\/10.1016\/j.epsr.2020.106998","journal-title":"Electr Power Syst Res"},{"issue":"12","key":"14024_CR5","doi-asserted-by":"publisher","first-page":"2045","DOI":"10.3390\/electronics9122045","volume":"9","author":"FA Alturki","year":"2020","unstructured":"Alturki FA, Farh MH, Al-Shamma\u2019a AA, AlSharabi K (2020) Techno-economic optimization of small-scale hybrid energy systems using manta ray foraging optimizer. Electronics 9(12):2045. https:\/\/doi.org\/10.3390\/electronics9122045","journal-title":"Electronics"},{"issue":"9","key":"14024_CR6","doi-asserted-by":"publisher","first-page":"13897","DOI":"10.1002\/er.6728","volume":"45","author":"M Aly","year":"2021","unstructured":"Aly M, Rezk H (2021) A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo-electric generation systems. Int J Energy Res 45(9):13897\u201313910. https:\/\/doi.org\/10.1002\/er.6728","journal-title":"Int J Energy Res"},{"key":"14024_CR7","doi-asserted-by":"publisher","first-page":"76529","DOI":"10.1109\/ACCESS.2019.2921545","volume":"7","author":"X Bao","year":"2019","unstructured":"Bao X, Jia H, Lang C (2019) A novel hybrid Harris hawks optimization for color image multilevel thresholding segmentation. IEEE Access 7:76529\u201376546. https:\/\/doi.org\/10.1109\/ACCESS.2019.2921545","journal-title":"IEEE Access"},{"key":"14024_CR8","doi-asserted-by":"publisher","first-page":"104405","DOI":"10.1016\/j.jappgeo.2021.104405","volume":"192","author":"UC Ben","year":"2021","unstructured":"Ben UC, Akpan AE, Mbonu CC, Ebong ED (2021) Novel methodology for interpretation of magnetic anomalies due to two-dimensional dipping dikes using the Manta ray foraging optimization. J Appl Geophys 192:104405. https:\/\/doi.org\/10.1016\/j.jappgeo.2021.104405","journal-title":"J Appl Geophys"},{"issue":"1","key":"14024_CR9","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","volume":"15","author":"S Das","year":"2010","unstructured":"Das S, Suganthan PN (2010) Differential evolution: A survey of the state-of-the-art. IEEE Trans Evol Comput 15(1):4\u201331. https:\/\/doi.org\/10.1109\/TEVC.2010.2059031","journal-title":"IEEE Trans Evol Comput"},{"key":"14024_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5555\/1248547.1248548","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330. https:\/\/doi.org\/10.5555\/1248547.1248548","journal-title":"J Mach Learn Res"},{"issue":"2","key":"14024_CR11","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.1007\/s13369-020-05050-z","volume":"46","author":"S Ekinci","year":"2021","unstructured":"Ekinci S, Izci D, Hekimo\u011flu B (2021) Optimal FOPID speed control of DC motor via opposition-based hybrid manta ray foraging optimization and simulated annealing algorithm. Arab J Sci Eng 46(2):1395\u20131409. https:\/\/doi.org\/10.1007\/s13369-020-05050-z","journal-title":"Arab J Sci Eng"},{"key":"14024_CR12","doi-asserted-by":"publisher","first-page":"113520","DOI":"10.1016\/j.jenvman.2021.113520","volume":"298","author":"K Elmaadawy","year":"2021","unstructured":"Elmaadawy K, Abd Elaziz M, Elsheikh AH, Moawad A, Liu B, Lu S (2021) Utilization of random vector functional link integrated with manta ray foraging optimization for effluent prediction of wastewater treatment plant. J Environ Manag 298:113520. https:\/\/doi.org\/10.1016\/j.jenvman.2021.113520","journal-title":"J Environ Manag"},{"key":"14024_CR13","doi-asserted-by":"publisher","unstructured":"Erdmann H, Wachs-Lopes G, Gallao C, Ribeiro MP, Rodrigues PS (2015) A study of a firefly meta-heuristics for multithreshold image segmentation. In Developments in medical image processing and computational vision. Springer, Cham. pp. 279\u2013295 https:\/\/doi.org\/10.1007\/978-3-319-13407-9_17","DOI":"10.1007\/978-3-319-13407-9_17"},{"key":"14024_CR14","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/j.solener.2020.06.108","volume":"207","author":"A Fathy","year":"2020","unstructured":"Fathy A, Rezk H, Yousri D (2020) A robust global MPPT to mitigate partial shading of triple-junction solar cell-based system using manta ray foraging optimization algorithm[J]. Sol Energy 207:305\u2013316. https:\/\/doi.org\/10.1016\/j.solener.2020.06.108","journal-title":"Sol Energy"},{"key":"14024_CR15","unstructured":"Fayad H, Hatt M, Visvikis D (2015) PET functional volume delineation using an Ant colony segmentation approach. (2015):1745\u20131745. https:\/\/jnm.snmjournals.org\/content\/56\/supplement_3\/1745.short"},{"issue":"2","key":"14024_CR16","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/BF00203032","volume":"63","author":"DB Fogel","year":"1990","unstructured":"Fogel DB, Atmar JW (1990) Comparing genetic operators with Gaussian mutations in simulated evolutionary processes using linear systems. Biol Cybern 63(2):111\u2013114. https:\/\/doi.org\/10.1007\/BF00203032","journal-title":"Biol Cybern"},{"issue":"17","key":"14024_CR17","doi-asserted-by":"publisher","first-page":"11027","DOI":"10.1007\/s00521-020-05560-9","volume":"33","author":"KK Ghosh","year":"2021","unstructured":"Ghosh KK, Guha R, Bera SK, Kumar N, Sarkar R (2021) S-shaped versus V-shaped transfer functions for binary Manta ray foraging optimization in feature selection problem. Neural Comput & Applic 33(17):11027\u201311041. https:\/\/doi.org\/10.1007\/s00521-020-05560-9","journal-title":"Neural Comput & Applic"},{"issue":"1","key":"14024_CR18","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/S0734-189X(85)90153-7","volume":"29","author":"RM Haralick","year":"1985","unstructured":"Haralick RM, Shapiro LG (1985) Image segmentation techniques. Comput Vis Graph Image Process 29(1):100\u2013132. https:\/\/doi.org\/10.1016\/S0734-189X(85)90153-7","journal-title":"Comput Vis Graph Image Process"},{"key":"14024_CR19","doi-asserted-by":"publisher","first-page":"104155","DOI":"10.1016\/j.engappai.2021.104155","volume":"100","author":"MH Hassan","year":"2021","unstructured":"Hassan MH, Houssein EH, Mahdy MA, Kamel S (2021) An improved manta ray foraging optimizer for cost-effective emission dispatch problems. Eng Appl Artif Intell 100:104155. https:\/\/doi.org\/10.1016\/j.engappai.2021.104155","journal-title":"Eng Appl Artif Intell"},{"issue":"15","key":"14024_CR20","doi-asserted-by":"publisher","first-page":"3847","DOI":"10.3390\/en13153847","volume":"13","author":"MG Hemeida","year":"2020","unstructured":"Hemeida MG, Alkhalaf S, Mohamed AAA, Ibrahim AA, Senjyu T (2020) Distributed generators optimization based on multi-objective functions using manta rays foraging optimization algorithm (MRFO). Energies 13(15):3847. https:\/\/doi.org\/10.3390\/en13153847","journal-title":"Energies"},{"issue":"1","key":"14024_CR21","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1016\/j.asej.2020.07.009","volume":"12","author":"MG Hemeida","year":"2021","unstructured":"Hemeida MG, Ibrahim AA, Mohamed AAA, Alkhalaf S, El-Dine AMB (2021) Optimal allocation of distributed generators DG based Manta ray foraging optimization algorithm (MRFO). Ain Shams Eng J 12(1):609\u2013619. https:\/\/doi.org\/10.1016\/j.asej.2020.07.009","journal-title":"Ain Shams Eng J"},{"key":"14024_CR22","doi-asserted-by":"publisher","unstructured":"Higashi N, Iba H (2003, April) Particle swarm optimization with Gaussian mutation. In: Proceedings of the 2003 IEEE swarm intelligence symposium. SIS'03 (cat. No. 03EX706). IEEE. pp. 72-79 https:\/\/doi.org\/10.1109\/SIS.2003.1202250","DOI":"10.1109\/SIS.2003.1202250"},{"key":"14024_CR23","doi-asserted-by":"publisher","first-page":"107304","DOI":"10.1016\/j.compeleceng.2021.107304","volume":"94","author":"EH Houssein","year":"2021","unstructured":"Houssein EH, Zaki GN, Diab AAZ, Younis EM (2021) An efficient Manta ray foraging optimization algorithm for parameter extraction of three-diode photovoltaic model. Comput Electr Eng 94:107304. https:\/\/doi.org\/10.1016\/j.compeleceng.2021.107304","journal-title":"Comput Electr Eng"},{"key":"14024_CR24","doi-asserted-by":"publisher","first-page":"115131","DOI":"10.1016\/j.eswa.2021.115131","volume":"181","author":"EH Houssein","year":"2021","unstructured":"Houssein EH, Ibrahim IE, Neggaz N, Hassaballah M, Wazery YM (2021) An efficient ECG arrhythmia classification method based on Manta ray foraging optimization. Expert Syst Appl 181:115131. https:\/\/doi.org\/10.1016\/j.eswa.2021.115131","journal-title":"Expert Syst Appl"},{"issue":"24","key":"14024_CR25","doi-asserted-by":"publisher","first-page":"16899","DOI":"10.1007\/s00521-021-06273-3","volume":"33","author":"EH Houssein","year":"2021","unstructured":"Houssein EH, Emam MM, Ali AA (2021) Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images. Neural Comput & Applic 33(24):16899\u201316919. https:\/\/doi.org\/10.1007\/s00521-021-06273-3","journal-title":"Neural Comput & Applic"},{"key":"14024_CR26","doi-asserted-by":"publisher","unstructured":"Islam MJ, Luo P, Sattar J (2020) Simultaneous enhancement and super-resolution of underwater imagery for improved visual perception. arXiv preprint arXiv:2002.01155. https:\/\/doi.org\/10.48550\/arXiv.2002.01155","DOI":"10.48550\/arXiv.2002.01155"},{"key":"14024_CR27","doi-asserted-by":"publisher","first-page":"104293","DOI":"10.1016\/j.engappai.2021.104293","volume":"103","author":"B Jena","year":"2021","unstructured":"Jena B, Naik MK, Panda R, Abraham A (2021) Maximum 3D Tsallis entropy based multilevel thresholding of brain MR image using attacking Manta ray foraging optimization. Eng Appl Artif Intell 103:104293. https:\/\/doi.org\/10.1016\/j.engappai.2021.104293","journal-title":"Eng Appl Artif Intell"},{"issue":"12","key":"14024_CR28","doi-asserted-by":"publisher","first-page":"1421","DOI":"10.3390\/rs11121421","volume":"11","author":"H Jia","year":"2019","unstructured":"Jia H, Lang C, Oliva D, Song W, Peng X (2019) Dynamic Harris hawks optimization with mutation mechanism for satellite image segmentation. Remote Sens 11(12):1421. https:\/\/doi.org\/10.3390\/rs11121421","journal-title":"Remote Sens"},{"issue":"6","key":"14024_CR29","doi-asserted-by":"publisher","first-page":"3075","DOI":"10.3233\/JIFS-169193","volume":"31","author":"H Jin","year":"2016","unstructured":"Jin H, Li Y, Xing B, Wang L (2016) A geometric image segmentation method based on a bi-convex, fuzzy, variational principle with teaching-learning optimization. J Intell Fuzzy Syst 31(6):3075\u20133081. https:\/\/doi.org\/10.3233\/JIFS-169193","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"14024_CR30","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.asoc.2007.05.007","volume":"8","author":"D Karaboga","year":"2008","unstructured":"Karaboga D, Basturk B (2008) On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8(1):687\u2013697. https:\/\/doi.org\/10.1016\/j.asoc.2007.05.007","journal-title":"Appl Soft Comput"},{"key":"14024_CR31","doi-asserted-by":"publisher","unstructured":"Kennedy J, Eberhart RC (1997, October) A discrete binary version of the particle swarm algorithm. In: 1997 IEEE international conference on systems, man, and cybernetics. Computational cybernetics and simulation. IEEE. (Vol. 5, pp. 4104-4108) https:\/\/doi.org\/10.1109\/ICSMC.1997.637339","DOI":"10.1109\/ICSMC.1997.637339"},{"issue":"4","key":"14024_CR32","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1080\/0952813X.2015.1042530","volume":"28","author":"XB Meng","year":"2016","unstructured":"Meng XB, Gao XZ, Lu L, Liu Y, Zhang H (2016) A new bio-inspired optimisation algorithm: bird swarm algorithm. J Exp Theor Artif Intell 28(4):673\u2013687. https:\/\/doi.org\/10.1080\/0952813X.2015.1042530","journal-title":"J Exp Theor Artif Intell"},{"issue":"1","key":"14024_CR33","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/j.asej.2020.07.010","volume":"12","author":"M Micev","year":"2021","unstructured":"Micev M, \u0106alasan M, Ali ZM, Hasanien HM, Aleem SHA (2021) Optimal design of automatic voltage regulation controller using hybrid simulated annealing\u2013Manta ray foraging optimization algorithm. Ain Shams Eng J 12(1):641\u2013657. https:\/\/doi.org\/10.1016\/j.asej.2020.07.010","journal-title":"Ain Shams Eng J"},{"key":"14024_CR34","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 (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367. https:\/\/doi.org\/10.1016\/j.advengsoft.2016.01.008","journal-title":"Adv Eng Softw"},{"key":"14024_CR35","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 SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361. https:\/\/doi.org\/10.1016\/j.advengsoft.2013.12.007","journal-title":"Adv Eng Softw"},{"key":"14024_CR36","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.asoc.2016.05.040","volume":"47","author":"S Pare","year":"2016","unstructured":"Pare S, Kumar A, Bajaj V, Singh GK (2016) A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve. Appl Soft Comput 47:76\u2013102. https:\/\/doi.org\/10.1016\/j.asoc.2016.05.040","journal-title":"Appl Soft Comput"},{"key":"14024_CR37","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.ins.2020.05.111","volume":"543","author":"H Peng","year":"2021","unstructured":"Peng H, Zhu W, Deng C, Wu Z (2021) Enhancing firefly algorithm with courtship learning. Inf Sci 543:18\u201342. https:\/\/doi.org\/10.1016\/j.ins.2020.05.111","journal-title":"Inf Sci"},{"key":"14024_CR38","doi-asserted-by":"publisher","first-page":"106729","DOI":"10.1016\/j.knosys.2020.106729","volume":"214","author":"H Peng","year":"2021","unstructured":"Peng H, Zeng Z, Deng C, Wu Z (2021) Multi-strategy serial cuckoo search algorithm for global optimization. Knowl-Based Syst 214:106729. https:\/\/doi.org\/10.1016\/j.knosys.2020.106729","journal-title":"Knowl-Based Syst"},{"issue":"3","key":"14024_CR39","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao RV, Savsani VJ, Vakharia DP (2011) Teaching\u2013learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303\u2013315. https:\/\/doi.org\/10.1016\/j.cad.2010.12.015","journal-title":"Comput Aided Des"},{"issue":"13","key":"14024_CR40","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 (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248. https:\/\/doi.org\/10.1016\/j.ins.2009.03.004","journal-title":"Inf Sci"},{"issue":"7","key":"14024_CR41","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12717","volume":"38","author":"SA Rather","year":"2021","unstructured":"Rather SA, Bala PS (2021) Constriction coefficient based particle swarm optimization and gravitational search algorithm for multilevel image thresholding. Expert Syst 38(7):e12717. https:\/\/doi.org\/10.1111\/exsy.12717","journal-title":"Expert Syst"},{"key":"14024_CR42","unstructured":"Saleh S, Kalyankar NV, Khamitkar SD (2010) Image segmentation by using threshold techniques. J Comput 2:2151\u20139617. https:\/\/arxiv.53yu.com\/abs\/1005.4020"},{"issue":"12","key":"14024_CR43","doi-asserted-by":"publisher","first-page":"8837","DOI":"10.1007\/s00521-019-04464-7","volume":"31","author":"R Salgotra","year":"2019","unstructured":"Salgotra R, Singh U (2019) The naked mole-rat algorithm. Neural Comput & Applic 31(12):8837\u20138857. https:\/\/doi.org\/10.1007\/s00521-019-04464-7","journal-title":"Neural Comput & Applic"},{"issue":"11","key":"14024_CR44","doi-asserted-by":"publisher","first-page":"7633","DOI":"10.1007\/s00521-018-3597-8","volume":"31","author":"GI Sayed","year":"2019","unstructured":"Sayed GI, Solyman M, Hassanien AE (2019) A novel chaotic optimal foraging algorithm for unconstrained and constrained problems and its application in white blood cell segmentation. Neural Comput & Applic 31(11):7633\u20137664. https:\/\/doi.org\/10.1007\/s00521-018-3597-8","journal-title":"Neural Comput & Applic"},{"key":"14024_CR45","doi-asserted-by":"publisher","first-page":"208281","DOI":"10.1109\/ACCESS.2020.3038740","volume":"8","author":"AM Shaheen","year":"2020","unstructured":"Shaheen AM, Ginidi AR, El-Sehiemy RA, Ghoneim SS (2020) Economic power and heat dispatch in cogeneration energy systems using manta ray foraging optimizer. IEEE Access 8:208281\u2013208295. https:\/\/doi.org\/10.1109\/ACCESS.2020.3038740","journal-title":"IEEE Access"},{"key":"14024_CR46","doi-asserted-by":"publisher","first-page":"105522","DOI":"10.1016\/j.asoc.2019.105522","volume":"97","author":"P Upadhyay","year":"2020","unstructured":"Upadhyay P, Chhabra JK (2020) Kapur\u2019s entropy based optimal multilevel image segmentation using crow search algorithm. Appl Soft Comput 97:105522. https:\/\/doi.org\/10.1016\/j.asoc.2019.105522","journal-title":"Appl Soft Comput"},{"issue":"1","key":"14024_CR47","doi-asserted-by":"publisher","first-page":"700","DOI":"10.3934\/mbe.2020036","volume":"17","author":"S Wang","year":"2020","unstructured":"Wang S, Jia H, Peng X (2020) Modified salp swarm algorithm based multilevel thresholding for color image segmentation. Math Biosci Eng 17(1):700\u2013724. https:\/\/doi.org\/10.3934\/mbe.2020036","journal-title":"Math Biosci Eng"},{"issue":"2","key":"14024_CR48","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/BF00175354","volume":"4","author":"D Whitley","year":"1994","unstructured":"Whitley D (1994) Genetic algorithm tutorial. Stat Comput 4(2):65\u201385. https:\/\/doi.org\/10.1007\/BF00175354","journal-title":"Stat Comput"},{"issue":"2","key":"14024_CR49","doi-asserted-by":"publisher","first-page":"10","DOI":"10.12305\/j.issn.1001-506X.2021.02.05","volume":"43","author":"Lv Xin","year":"2021","unstructured":"Xin Lv, Xiaodong M, Jun Z (2021) Multi-threshold image segmentation based on improved sparrow search algorithm. Syst Eng Electron Technol 43(2):10. https:\/\/doi.org\/10.12305\/j.issn.1001-506X.2021.02.05","journal-title":"Syst Eng Electron Technol"},{"issue":"8","key":"14024_CR50","doi-asserted-by":"publisher","first-page":"1712","DOI":"10.13700\/j.bh.1001-5965.2020.0298","volume":"47","author":"LV Xin","year":"2021","unstructured":"Xin LV, Xiaodong M, Jun Z, Zhen W (2021) Chaotic sparrow search optimization algorithm. J Beijing Univ Aeronaut Astronaut 47(8):1712\u20131720. https:\/\/doi.org\/10.13700\/j.bh.1001-5965.2020.0298","journal-title":"J Beijing Univ Aeronaut Astronaut"},{"issue":"55","key":"14024_CR51","doi-asserted-by":"publisher","first-page":"30932","DOI":"10.1016\/j.ijhydene.2020.08.053","volume":"45","author":"H Xu","year":"2020","unstructured":"Xu H, Song H, Xu C, Wu X, Yousefi N (2020) Exergy analysis and optimization of a HT-PEMFC using developed Manta ray foraging optimization algorithm. Int J Hydrog Energy 45(55):30932\u201330941. https:\/\/doi.org\/10.1016\/j.ijhydene.2020.08.053","journal-title":"Int J Hydrog Energy"},{"issue":"1","key":"14024_CR52","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1080\/21642583.2019.1708830","volume":"8","author":"J Xue","year":"2020","unstructured":"Xue J, Shen B (2020) A novel swarm intelligence optimization approach: sparrow search algorithm. Syst Sci Control Eng 8(1):22\u201334. https:\/\/doi.org\/10.1080\/21642583.2019.1708830","journal-title":"Syst Sci Control Eng"},{"key":"14024_CR53","doi-asserted-by":"publisher","unstructured":"Yang XS, Deb S (2009, December) Cuckoo search via L\u00e9vy flights. In: 2009 world congress on nature & biologically inspired computing (NaBIC). IEEE. pp. 210-214 https:\/\/doi.org\/10.1109\/NABIC.2009.5393690","DOI":"10.1109\/NABIC.2009.5393690"},{"issue":"16","key":"14024_CR54","doi-asserted-by":"publisher","first-page":"12011","DOI":"10.1007\/s00521-019-04210-z","volume":"32","author":"Z Yang","year":"2020","unstructured":"Yang Z, Wu A (2020) A non-revisiting quantum-behaved particle swarm optimization based multilevel thresholding for image segmentation. Neural Comput & Applic 32(16):12011\u201312031. https:\/\/doi.org\/10.1007\/s00521-019-04210-z","journal-title":"Neural Comput & Applic"},{"key":"14024_CR55","doi-asserted-by":"publisher","first-page":"36977","DOI":"10.1109\/ACCESS.2018.2852640","volume":"6","author":"Y Yu","year":"2018","unstructured":"Yu Y, Gao S, Wang Y, Cheng J, Todo Y (2018) ASBSO: an improved brain storm optimization with flexible search length and memory-based selection. IEEE Access 6:36977\u201336994. https:\/\/doi.org\/10.1109\/ACCESS.2018.2852640","journal-title":"IEEE Access"},{"key":"14024_CR56","doi-asserted-by":"publisher","unstructured":"Zhao D, Liu L, Yu F, Heidari AA, Chen H (2020) Ant colony optimization with horizontal and vertical crossover search: fundamental visions for multi-threshold image segmentation. Expert Syst Appl, http:\/\/aliasgharheidari.com:114122. https:\/\/doi.org\/10.1016\/j.eswa.2020.114122","DOI":"10.1016\/j.eswa.2020.114122"},{"key":"14024_CR57","doi-asserted-by":"publisher","first-page":"103300","DOI":"10.1016\/j.engappai.2019.103300","volume":"87","author":"W Zhao","year":"2020","unstructured":"Zhao W, Zhang Z, Wang L (2020) Manta ray foraging optimization: an effective bio-inspired optimizer for engineering applications. Eng Appl Artif Intell 87:103300. https:\/\/doi.org\/10.1016\/j.engappai.2019.103300","journal-title":"Eng Appl Artif Intell"},{"issue":"18","key":"14024_CR58","doi-asserted-by":"publisher","first-page":"23699","DOI":"10.1007\/s11042-018-5637-x","volume":"77","author":"Y Zhou","year":"2018","unstructured":"Zhou Y, Yang X, Ling Y, Zhang J (2018) Meta-heuristic moth swarm algorithm for multilevel thresholding image segmentation. Multimed Tools Appl 77(18):23699\u201323727. https:\/\/doi.org\/10.1007\/s11042-018-5637-x","journal-title":"Multimed Tools Appl"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-14024-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-14024-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-14024-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T09:13:20Z","timestamp":1685006000000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-14024-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":58,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["14024"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-14024-2","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"15 November 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 September 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2022","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 conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}