{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T03:40:28Z","timestamp":1779334828892,"version":"3.51.4"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T00:00:00Z","timestamp":1701820800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T00:00:00Z","timestamp":1701820800000},"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":["Appl Intell"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s10489-023-05202-2","type":"journal-article","created":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T04:18:57Z","timestamp":1701836337000},"page":"169-200","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A hierarchical learning based artificial bee colony algorithm for numerical global optimization and its applications"],"prefix":"10.1007","volume":"54","author":[{"given":"Qingke","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianglong","family":"Bu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianqi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaxiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,6]]},"reference":[{"key":"5202_CR1","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: MHS\u201995. Proceedings of the sixth international symposium on micro machine and human science, pp 39\u201343. IEEE","DOI":"10.1109\/MHS.1995.494215"},{"issue":"4","key":"5202_CR2","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341\u2013359","journal-title":"J Glob Optim"},{"key":"5202_CR3","unstructured":"Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical Report"},{"issue":"3","key":"5202_CR4","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm. J Glob Optim 39(3):459\u2013471","journal-title":"J Glob Optim"},{"issue":"1","key":"5202_CR5","first-page":"108","volume":"214","author":"D Karaboga","year":"2009","unstructured":"Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(1):108\u2013132","journal-title":"Appl Math Comput"},{"key":"5202_CR6","doi-asserted-by":"crossref","unstructured":"Dorigo M, Di Caro G (1999) Ant colony optimization: a new meta-heuristic. In: Proceedings of the 1999 congress on evolutionary computation-CEC99 (Cat. No. 99TH8406), vol 2, pp\u00a01470\u20131477. IEEE","DOI":"10.1109\/CEC.1999.782657"},{"key":"5202_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2022\/8970549","volume":"2022","author":"R Kler","year":"2022","unstructured":"Kler R, Gangurde R, Elmirzaev S, Hossain MS, Vo NV, Nguyen TV, Kumar PN (2022) Optimization of meat and poultry farm inventory stock using data analytics for green supply chain network. Discret Dyn Nat Soc 2022:1\u20138","journal-title":"Discret Dyn Nat Soc"},{"key":"5202_CR8","doi-asserted-by":"crossref","unstructured":"Forghany Z, Davarynejad M, Snaar-Jagalska BE (2012) Gene regulatory network model identification using artificial bee colony and swarm intelligence. In: 2012 IEEE Congress on evolutionary computation, pp\u00a01\u20136","DOI":"10.1109\/CEC.2012.6256461"},{"key":"5202_CR9","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.swevo.2013.04.004","volume":"12","author":"P Shunmugapriya","year":"2013","unstructured":"Shunmugapriya P, Kanmani S (2013) Optimization of stacking ensemble configurations through artificial bee colony algorithm. Swarm Evol Comput 12:24\u201332","journal-title":"Swarm Evol Comput"},{"key":"5202_CR10","doi-asserted-by":"crossref","unstructured":"Kojima M, Nakano H, Miyauchi A (2013) An artificial bee colony algorithm for solving dynamic optimization problems. In: 2013 IEEE Congress on evolutionary computation, pp\u00a02398\u20132405","DOI":"10.1109\/CEC.2013.6557856"},{"issue":"8","key":"5202_CR11","doi-asserted-by":"crossref","first-page":"1470","DOI":"10.1080\/13658816.2015.1012512","volume":"29","author":"L Yang","year":"2015","unstructured":"Yang L, Sun X, Peng L, Shao J, Chi T (2015) An improved artificial bee colony algorithm for optimal land-use allocation. Int J Geogr Inf Sci 29(8):1470\u20131489","journal-title":"Int J Geogr Inf Sci"},{"key":"5202_CR12","doi-asserted-by":"crossref","unstructured":"Greenwood GW, Chopra S (2013) A modified artificial bee colony algorithm for solving large graph theory problems. In: 2013 IEEE Congress on evolutionary computation, pp\u00a0713\u2013717","DOI":"10.1109\/CEC.2013.6557638"},{"issue":"1","key":"5202_CR13","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1109\/TEVC.2011.2112664","volume":"16","author":"RA Vural","year":"2012","unstructured":"Vural RA, Yildirim T, Kadioglu T, Basargan A (2012) Performance evaluation of evolutionary algorithms for optimal filter design. IEEE Trans Evol Comput 16(1):135\u2013147","journal-title":"IEEE Trans Evol Comput"},{"key":"5202_CR14","doi-asserted-by":"crossref","unstructured":"Zangeneh MA, Ghazvini M (2017) An energy-based clustering method for wsns using artificial bee colony and genetic algorithm. In: 2017 2nd Conference on swarm intelligence and evolutionary computation (CSIEC), pp\u00a035\u201341","DOI":"10.1109\/CSIEC.2017.7940165"},{"issue":"6","key":"5202_CR15","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1109\/TEVC.2015.2411741","volume":"19","author":"CW Fong","year":"2015","unstructured":"Fong CW, Asmuni H, McCollum B (2015) A hybrid swarm-based approach to university timetabling. IEEE Trans Evol Comput 19(6):870\u2013884","journal-title":"IEEE Trans Evol Comput"},{"issue":"6","key":"5202_CR16","first-page":"313","volume":"120","author":"S Dara","year":"2018","unstructured":"Dara S, Vaishnavai P, NageswaraRao B, Ravi KJ (2018) Artificial bee colony algorithm: A survey and recent applications. Int J Pure Appl Math 120(6):313\u2013321","journal-title":"Int J Pure Appl Math"},{"key":"5202_CR17","doi-asserted-by":"crossref","unstructured":"Agarwal SK, Yadav S (2019) A comprehensive survey on artificial bee colony algorithm as a frontier in swarm intelligence. In: Hu Y-C, Tiwari S, Mishra KK, Trivedi MC (eds) Ambient communications and computer systems. Springer, Singapore, pp 125\u2013134","DOI":"10.1007\/978-981-13-5934-7_12"},{"key":"5202_CR18","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1016\/j.asoc.2017.10.040","volume":"62","author":"S Ghambari","year":"2018","unstructured":"Ghambari S, Rahati A (2018) An improved artificial bee colony algorithm and its application to reliability optimization problems. Appl Soft Comput 62:736\u2013767","journal-title":"Appl Soft Comput"},{"issue":"1","key":"5202_CR19","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s11771-018-3721-z","volume":"25","author":"Y Gao","year":"2018","unstructured":"Gao Y, Li X, Dong M, Li H-p (2018) An enhanced artificial bee colony optimizer and its application to multi-level threshold image segmentation. J Cent South Univ 25(1):107\u2013120","journal-title":"J Cent South Univ"},{"issue":"7","key":"5202_CR20","first-page":"3166","volume":"217","author":"G Zhu","year":"2010","unstructured":"Zhu G, Kwong S (2010) Gbest-guided artificial bee colony algorithm for numerical function optimization. Appl Math Comput 217(7):3166\u20133173","journal-title":"Appl Math Comput"},{"key":"5202_CR21","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/j.swevo.2018.07.002","volume":"44","author":"A Lin","year":"2019","unstructured":"Lin A, Sun W, Yu H, Wu G, Tang H (2019) Global genetic learning particle swarm optimization with diversity enhancement by ring topology. Swarm Evol Comput 44:571\u2013583","journal-title":"Swarm Evol Comput"},{"key":"5202_CR22","doi-asserted-by":"crossref","unstructured":"Bhambu P, Sharma S, Kumar S (2018) Modified gbest artificial bee colony algorithm. In: Pant M, Ray K, Sharma TK, Rawat S, Bandyopadhyay A (eds) Soft computing: theories and applications. Springer, Singapore, pp 665\u2013677","DOI":"10.1007\/978-981-10-5687-1_59"},{"key":"5202_CR23","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.swevo.2015.05.002","volume":"24","author":"N Lynn","year":"2015","unstructured":"Lynn N, Suganthan PN (2015) Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Swarm Evol Comput 24:11\u201324","journal-title":"Swarm Evol Comput"},{"key":"5202_CR24","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1016\/j.asoc.2017.11.012","volume":"62","author":"Q Lin","year":"2018","unstructured":"Lin Q, Zhu M, Li G, Wang W, Cui L, Chen J, Lu J (2018) A novel artificial bee colony algorithm with local and global information interaction. Appl Soft Comput 62:702\u2013735","journal-title":"Appl Soft Comput"},{"key":"5202_CR25","volume":"87","author":"H-C Tsai","year":"2020","unstructured":"Tsai H-C (2020) Artificial bee colony directive for continuous optimization. Appl Soft Comput 87:105982","journal-title":"Appl Soft Comput"},{"key":"5202_CR26","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.107054","volume":"101","author":"R Durgut","year":"2021","unstructured":"Durgut R, Aydin ME (2021) Adaptive binary artificial bee colony algorithm. Appl Soft Comput 101:107054","journal-title":"Appl Soft Comput"},{"key":"5202_CR27","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.ins.2017.11.007","volume":"429","author":"W-l Xiang","year":"2018","unstructured":"Xiang W-l, Meng X-l, Li Y-z, He R-c, An M-q (2018) An improved artificial bee colony algorithm based on the gravity model. Inf Sci 429:49\u201371","journal-title":"Inf Sci"},{"key":"5202_CR28","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ins.2018.02.025","volume":"442","author":"D Kong","year":"2018","unstructured":"Kong D, Chang T, Dai W, Wang Q, Sun H (2018) An improved artificial bee colony algorithm based on elite group guidance and combined breadth-depth search strategy. Inf Sci 442:54\u201371","journal-title":"Inf Sci"},{"key":"5202_CR29","volume":"111","author":"X Zhou","year":"2021","unstructured":"Zhou X, Wu Y, Zhong M, Wang M (2021) Artificial bee colony algorithm based on multiple neighborhood topologies. Appl Soft Comput 111:107697","journal-title":"Appl Soft Comput"},{"issue":"18","key":"5202_CR30","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.ifacol.2018.09.308","volume":"51","author":"J Pian","year":"2018","unstructured":"Pian J, Wang G, Li B (2018) An improved abc algorithm based on initial population and neighborhood search. IFAC-PapersOnLine 51(18):251\u2013256","journal-title":"IFAC-PapersOnLine"},{"key":"5202_CR31","doi-asserted-by":"crossref","unstructured":"Borowska B (2020) Genetic learning particle swarm optimization with interlaced ring topology. In: International conference on computational science, pp\u00a0136\u2013148. Springer","DOI":"10.1007\/978-3-030-50426-7_11"},{"key":"5202_CR32","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.ins.2020.03.064","volume":"527","author":"H Wang","year":"2020","unstructured":"Wang H, Wang W, Xiao S, Cui Z, Xu M, Zhou X (2020) Improving artificial bee colony algorithm using a new neighborhood selection mechanism. Inf Sci 527:227\u2013240","journal-title":"Inf Sci"},{"key":"5202_CR33","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2019.06.006","volume":"50","author":"X Song","year":"2019","unstructured":"Song X, Zhao M, Yan Q, Xing S (2019) A high-efficiency adaptive artificial bee colony algorithm using two strategies for continuous optimization. Swarm Evol Comput 50:100549","journal-title":"Swarm Evol Comput"},{"key":"5202_CR34","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.swevo.2017.10.004","volume":"39","author":"Y Chen","year":"2018","unstructured":"Chen Y, Li L, Peng H, Xiao J, Wu Q (2018) Dynamic multi-swarm differential learning particle swarm optimizer. Swarm Evol Comput 39:209\u2013221","journal-title":"Swarm Evol Comput"},{"key":"5202_CR35","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1016\/j.ins.2014.04.013","volume":"279","author":"H Wang","year":"2014","unstructured":"Wang H, Wu Z, Rahnamayan S, Sun H, Liu Y, Pan J-s (2014) Multi-strategy ensemble artificial bee colony algorithm. Inf Sci 279:587\u2013603","journal-title":"Inf Sci"},{"key":"5202_CR36","doi-asserted-by":"crossref","unstructured":"Barani F, Mirhosseini M (2018) Classification of binary problems with svm and a mixed artificial bee colony algorithm. In: 2018 3rd Conference on swarm intelligence and evolutionary computation (CSIEC), pp\u00a01\u20139","DOI":"10.1109\/CSIEC.2018.8405413"},{"issue":"3","key":"5202_CR37","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1111\/coin.12276","volume":"36","author":"R Beed","year":"2020","unstructured":"Beed R, Roy A, Sarkar S, Bhattacharya D (2020) A hybrid multi-objective tour route optimization algorithm based on particle swarm optimization and artificial bee colony optimization. Comput Intell 36(3):884\u2013909","journal-title":"Comput Intell"},{"key":"5202_CR38","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.ins.2017.08.067","volume":"421","author":"Y Zhong","year":"2017","unstructured":"Zhong Y, Lin J, Wang L, Zhang H (2017) Hybrid discrete artificial bee colony algorithm with threshold acceptance criterion for traveling salesman problem. Inf Sci 421:70\u201384","journal-title":"Inf Sci"},{"issue":"3","key":"5202_CR39","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","volume":"10","author":"JJ Liang","year":"2006","unstructured":"Liang JJ, Qin AK, Suganthan PN (2006) Baskar S Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans Evol Comput 10(3):281\u2013295","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"5202_CR40","first-page":"479","volume":"24","author":"F Wang","year":"2019","unstructured":"Wang F, Li Y, Zhou A (2019) Tang K An estimation of distribution algorithm for mixed-variable newsvendor problems. IEEE Trans Evol Comput 24(3):479\u2013493","journal-title":"IEEE Trans Evol Comput"},{"issue":"6","key":"5202_CR41","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1109\/TEVC.2015.2411741","volume":"19","author":"CW Fong","year":"2015","unstructured":"Fong CW, Asmuni H, McCollum B (2015) A hybrid swarm-based approach to university timetabling. IEEE Trans Evol Comput 19(6):870\u2013884","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"5202_CR42","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1109\/TCSS.2020.3007769","volume":"7","author":"A-F Attia","year":"2020","unstructured":"Attia A-F, Abd Elaziz M, Hassanien AE (2020) El-Sehiemy RA Prediction of solar activity using hybrid artificial bee colony with neighborhood rough sets. IEEE Transactions on Computational Social Systems 7(5):1123\u20131130","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"5202_CR43","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.asoc.2017.04.018","volume":"58","author":"SS Jadon","year":"2017","unstructured":"Jadon SS, Tiwari R, Sharma H (2017) Bansal JC Hybrid artificial bee colony algorithm with differential evolution. Appl Soft Comput 58:11\u201324","journal-title":"Appl Soft Comput"},{"issue":"8","key":"5202_CR44","doi-asserted-by":"crossref","first-page":"1208","DOI":"10.3390\/mi13081208","volume":"13","author":"C-N Wang","year":"2022","unstructured":"Wang C-N, Yang F-C, Nguyen VTT (2022) Vo NT Cfd analysis and optimum design for a centrifugal pump using an effectively artificial intelligent algorithm. Micromachines 13(8):1208","journal-title":"Micromachines"},{"key":"5202_CR45","unstructured":"Liang J-J, Suganthan PN, Deb K Novel composition test functions for numerical global optimization. In:Proceedings 2005 IEEE swarm intelligence symposium, 2005. SIS 2005., pp\u00a068\u201375 (2005). IEEE"},{"key":"5202_CR46","unstructured":"Tang K, Li X, Suganthan P, Yang Z, Weise T (2010) Benchmark functions for the cec2010 special session and competition on large-scale global optimization"},{"key":"5202_CR47","unstructured":"Liang J, Qu B, Suganthan P, Hern\u00e1ndez-D\u00edaz AG (2013) Problem definitions and evaluation criteria for the cec 2013 special session on real-parameter optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou, China and Nanyang Technological University, Singapore, Technical Report 201212(34):281\u2013295"},{"key":"5202_CR48","doi-asserted-by":"crossref","unstructured":"Sun B, Sun Y, Li W (2022) Multiple topology shade with tolerance-based composite framework for cec2022 single objective bound constrained numerical optimization. In: 2022 IEEE congress on evolutionary computation (CEC), pp\u00a01\u20138. IEEE","DOI":"10.1109\/CEC55065.2022.9870395"},{"key":"5202_CR49","doi-asserted-by":"crossref","DOI":"10.1016\/j.adhoc.2020.102317","volume":"110","author":"P Maheshwari","year":"2021","unstructured":"Maheshwari P, Sharma AK (2021) Verma K Energy efficient cluster based routing protocol for wsn using butterfly optimization algorithm and ant colony optimization. Ad Hoc Networks 110:102317","journal-title":"Ad Hoc Networks"},{"issue":"4","key":"5202_CR50","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1109\/COMST.2014.2320073","volume":"16","author":"LM Borges","year":"2014","unstructured":"Borges LM, Velez FJ, Lebres AS (2014) Survey on the characterization and classification of wireless sensor network applications. IEEE Communications Surveys & Tutorials 16(4):1860\u20131890","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"5202_CR51","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.cie.2017.10.018","volume":"114","author":"Faruk Y\u0131lmaz","year":"2017","unstructured":"Y\u0131lmaz Faruk, Pardalos PM (2017) Minimizing average lead time for the coordinated scheduling problem in a two-stage supply chain with multiple customers and multiple manufacturers. Comput Ind Eng 114:244\u2013257","journal-title":"Comput Ind Eng"},{"key":"5202_CR52","doi-asserted-by":"crossref","first-page":"19509","DOI":"10.1109\/ACCESS.2018.2791546","volume":"6","author":"A Khalid","year":"2018","unstructured":"Khalid A, Javaid N, Guizani M, Alhussein M, Aurangzeb K (2018) Ilahi M Towards dynamic coordination among home appliances using multi-objective energy optimization for demand side management in smart buildings. IEEE Access 6:19509\u201319529","journal-title":"IEEE Access"},{"key":"5202_CR53","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.1016\/j.renene.2019.08.092","volume":"146","author":"G Dileep","year":"2020","unstructured":"Dileep G (2020) A survey on smart grid technologies and applications. Renewable Energy 146:2589\u20132625","journal-title":"Renewable Energy"},{"key":"5202_CR54","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2020.100793","volume":"60","author":"SN Makhadmeh","year":"2021","unstructured":"Makhadmeh SN, Khader AT, Al-Betar MA, Naim S, Abasi AK (2021) Alyasseri ZAA A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home. Swarm Evol Comput 60:100793","journal-title":"Swarm Evol Comput"},{"key":"5202_CR55","doi-asserted-by":"crossref","unstructured":"Kuruvilla J, Sukumaran D, Sankar A, Joy SP (2016) A review on image processing and image segmentation. In: 2016 International conference on data mining and advanced computing (SAPIENCE), pp\u00a0198\u2013203","DOI":"10.1109\/SAPIENCE.2016.7684170"},{"key":"5202_CR56","doi-asserted-by":"crossref","unstructured":"Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62\u201366","DOI":"10.1109\/TSMC.1979.4310076"},{"issue":"3","key":"5202_CR57","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/0734-189X(85)90125-2","volume":"29","author":"JN Kapur","year":"1985","unstructured":"Kapur JN, Sahoo PK (1985) Wong AK A new method for gray-level picture thresholding using the entropy of the histogram. Compt Vis Graph Image Process 29(3):273\u2013285","journal-title":"Compt Vis Graph Image Process"},{"issue":"1","key":"5202_CR58","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1109\/TEVC.2007.894200","volume":"12","author":"S Rahnamayan","year":"2008","unstructured":"Rahnamayan S, Tizhoosh HR (2008) Salama MM Opposition-based differential evolution. IEEE Trans Evol Comput 12(1):64\u201379","journal-title":"IEEE Trans Evol Comput"},{"key":"5202_CR59","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.cie.2017.06.028","volume":"110","author":"N Rojas-Morales","year":"2017","unstructured":"Rojas-Morales N, Riff Rojas M-C (2017) Montero Ureta E A survey and classification of opposition-based metaheuristics. Comput Ind Eng 110:424\u2013435","journal-title":"Comput Ind Eng"},{"key":"5202_CR60","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106955","volume":"100","author":"S Xiao","year":"2021","unstructured":"Xiao S, Wang H, Wang W, Huang Z, Zhou X (2021) Xu M Artificial bee colony algorithm based on adaptive neighborhood search and gaussian perturbation. Appl Soft Comput 100:106955","journal-title":"Appl Soft Comput"},{"key":"5202_CR61","doi-asserted-by":"crossref","unstructured":"Zhang M, Pan Y, Zhu J, Chen G (2018) Abc-tlbo: A hybrid algorithm based on artificial bee colony and teaching-learning-based optimization. In: 2018 37th Chinese Control Conference (CCC), pp\u00a02410\u20132417. IEEE","DOI":"10.23919\/ChiCC.2018.8483829"},{"key":"5202_CR62","doi-asserted-by":"crossref","unstructured":"Zhang X, Lou Y, Yuen SY, Wu Z, He Y, Zhang X (2019) Hybrid artificial bee colony with covariance matrix adaptation evolution strategy for economic load dispatch. In: 2019 IEEE Congress on evolutionary computation (CEC), pp\u00a0204\u2013209","DOI":"10.1109\/CEC.2019.8790221"},{"key":"5202_CR63","doi-asserted-by":"crossref","unstructured":"Chen L, Liu H-L, Tan KC, Li K (2021) Transfer learning based parallel evolutionary algorithm framework for bi-level optimization.IEEE Trans Evol Comput, pp\u00a01\u20131","DOI":"10.1109\/CEC45853.2021.9504861"},{"key":"5202_CR64","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.ins.2020.07.037","volume":"543","author":"X Zhou","year":"2021","unstructured":"Zhou X, Lu J, Huang J, Zhong M (2021) Wang M Enhancing artificial bee colony algorithm with multi-elite guidance. Inf Sci 543:242\u2013258","journal-title":"Inf Sci"},{"key":"5202_CR65","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.asoc.2018.04.027","volume":"69","author":"R Santos","year":"2018","unstructured":"Santos R, Borges G, Santos A, Silva M, Sales C (2018) Costa JCWA A semi-autonomous particle swarm optimizer based on gradient information and diversity control for global optimization. Appl Soft Comput 69:330\u2013343","journal-title":"Appl Soft Comput"},{"issue":"4","key":"5202_CR66","doi-asserted-by":"crossref","first-page":"3658","DOI":"10.1016\/j.asoc.2011.01.037","volume":"11","author":"A Nickabadi","year":"2011","unstructured":"Nickabadi A, Ebadzadeh MM (2011) Safabakhsh R A novel particle swarm optimization algorithm with adaptive inertia weight. Appl Soft Comput 11(4):3658\u20133670","journal-title":"Appl Soft Comput"},{"key":"5202_CR67","doi-asserted-by":"crossref","first-page":"4962","DOI":"10.1007\/s10489-020-02091-7","volume":"51","author":"X Zhong","year":"2021","unstructured":"Zhong X, Cheng P (2021) An elite-guided hierarchical differential evolution algorithm. Appl Intell 51:4962\u20134983","journal-title":"Appl Intell"},{"key":"5202_CR68","volume":"60","author":"D Li","year":"2021","unstructured":"Li D, Guo W, Lerch A, Li Y, Wang L, Wu Q (2021) An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization. Swarm Evol Comput 60:100789","journal-title":"Swarm Evol Comput"},{"issue":"11","key":"5202_CR69","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1016\/j.jpdc.2009.08.002","volume":"69","author":"AM Khedr","year":"2009","unstructured":"Khedr AM, Osamy W (2009) Agrawal DP Perimeter discovery in wireless sensor networks. J Parallel Distrib Comput 69(11):922\u2013929","journal-title":"J Parallel Distrib Comput"},{"key":"5202_CR70","doi-asserted-by":"crossref","unstructured":"Himanshu, Khanna R, Kumar A (2022) Artificial intelligence applications for target node positions in wireless sensor networks using single mobile anchor node. Comput Ind Eng 167:107998","DOI":"10.1016\/j.cie.2022.107998"},{"key":"5202_CR71","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2020.106425","volume":"143","author":"A Akbari-Dibavar","year":"2020","unstructured":"Akbari-Dibavar A, Nojavan S, Mohammadi-Ivatloo B (2020) Zare K Smart home energy management using hybrid robust-stochastic optimization. Comput Ind Eng 143:106425","journal-title":"Comput Ind Eng"},{"issue":"3","key":"5202_CR72","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/0734-189X(85)90125-2","volume":"29","author":"JN Kapur","year":"1985","unstructured":"Kapur JN, Sahoo PK (1985) Wong AKC A new method for gray-level picture thresholding using the entropy of the histogram. Computer Vision, Graphics, and Image Processing 29(3):273\u2013285","journal-title":"Computer Vision, Graphics, and Image Processing"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-05202-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-023-05202-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-05202-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T05:46:46Z","timestamp":1730785606000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-023-05202-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,6]]},"references-count":72,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["5202"],"URL":"https:\/\/doi.org\/10.1007\/s10489-023-05202-2","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,6]]},"assertion":[{"value":"25 November 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 December 2023","order":2,"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":"Competing of interest"}},{"value":"The data utilized in this study were collected and processed in accordance with ethical guidelines and principles. All necessary informed consents were obtained from relevant parties or authorized sources prior to the use of the data. Proper protocols were followed to ensure the privacy, confidentiality, and proper handling of sensitive information.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical and Informed Consent for Data Used"}}]}}