{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T01:37:40Z","timestamp":1772761060489,"version":"3.50.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T00:00:00Z","timestamp":1767657600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T00:00:00Z","timestamp":1767657600000},"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":"publisher","award":["12271419"],"award-info":[{"award-number":["12271419"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1007\/s10586-025-05873-1","type":"journal-article","created":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T15:32:51Z","timestamp":1767713571000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["MLS-JAYA: A multi-learning JAYA algorithm for numerical optimization and efficient engineering design"],"prefix":"10.1007","volume":"29","author":[{"given":"Lingyun","family":"Deng","sequence":"first","affiliation":[]},{"given":"Sanyang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,6]]},"reference":[{"key":"5873_CR1","doi-asserted-by":"publisher","first-page":"5573","DOI":"10.1007\/s00500-016-2471-9","volume":"21","author":"C Garc\u00eda-Mart\u00ednez","year":"2017","unstructured":"Garc\u00eda-Mart\u00ednez, C., Guti\u00e9rrez, P.D., Molina, D., Lozano, M., Herrera, F.: Since cec 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis\u2019s weakness. Soft Comput. 21, 5573\u20135583 (2017)","journal-title":"Soft Comput."},{"key":"5873_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.116716","volume":"289","author":"S Ikeda","year":"2021","unstructured":"Ikeda, S., Nagai, T.: A novel optimization method combining metaheuristics and machine learning for daily optimal operations in building energy and storage systems. Appl. Energy 289, 116716 (2021)","journal-title":"Appl. Energy"},{"key":"5873_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2023.122032","volume":"353","author":"Q Liu","year":"2024","unstructured":"Liu, Q., Zhang, C., Li, Z., Peng, T., Zhang, Z., Du, D., Nazir, M.S.: Multi-strategy adaptive guidance differential evolution algorithm using fitness-distance balance and opposition-based learning for constrained global optimization of photovoltaic cells and modules. Applied Energy 353, 122032 (2024)","journal-title":"Applied Energy"},{"key":"5873_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2025.125339","volume":"383","author":"Y Yao","year":"2025","unstructured":"Yao, Y., Hong, X., Xiong, L.: Study on a new metaheuristic algorithm-tribal intelligent evolution optimization and its application in optimal control of cooling plants. Appl. Energy 383, 125339 (2025)","journal-title":"Appl. Energy"},{"key":"5873_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2024.104209","volume":"164","author":"L Deng","year":"2025","unstructured":"Deng, L., Liu, S.: Advancing photovoltaic system design: an enhanced social learning swarm optimizer with guaranteed stability. Computers in Industry 164, 104209 (2025)","journal-title":"Computers in Industry"},{"issue":"10","key":"5873_CR6","doi-asserted-by":"publisher","first-page":"1801","DOI":"10.1109\/JAS.2022.105875","volume":"9","author":"Y Tian","year":"2022","unstructured":"Tian, Y., Chen, H., Ma, H., Zhang, X., Tan, K.C., Jin, Y.: Integrating conjugate gradients into evolutionary algorithms for large-scale continuous multi-objective optimization. IEEE\/CAA J. Autom. Sinica 9(10), 1801\u20131817 (2022)","journal-title":"IEEE\/CAA J. Autom. Sinica"},{"issue":"2","key":"5873_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103217","volume":"60","author":"H Lin","year":"2023","unstructured":"Lin, H., Wang, C., Hao, Q.: A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed gray wolf optimizer for feature selection. Inf. Process. Manag. 60(2), 103217 (2023)","journal-title":"Inf. Process. Manag."},{"issue":"1","key":"5873_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103123","volume":"60","author":"B Liang","year":"2023","unstructured":"Liang, B., Han, S., Li, W., Huang, G., He, R.: Spatial-temporal alignment of time series with different sampling rates based on cellular multi-objective whale optimization. Inf. Process. Manag. 60(1), 103123 (2023)","journal-title":"Inf. Process. Manag."},{"key":"5873_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2022.115764","volume":"404","author":"L Deng","year":"2023","unstructured":"Deng, L., Liu, S.: A multi-strategy improved slime mould algorithm for global optimization and engineering design problems. Computer Methods in Applied Mechanics and Engineering 404, 115764 (2023)","journal-title":"Computer Methods in Applied Mechanics and Engineering"},{"key":"5873_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106193","volume":"91","author":"Q Li","year":"2020","unstructured":"Li, Q., Liu, S.-Y., Yang, X.-S.: Influence of initialization on the performance of metaheuristic optimizers. Appl. Soft Comput. 91, 106193 (2020)","journal-title":"Appl. Soft Comput."},{"issue":"1","key":"5873_CR11","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.cam.2004.07.034","volume":"184","author":"J McCall","year":"2005","unstructured":"McCall, J.: Genetic algorithms for modelling and optimisation. J. Comput. Appl. Math. 184(1), 205\u2013222 (2005)","journal-title":"J. Comput. Appl. Math."},{"key":"5873_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.113025","volume":"310","author":"JPAF Campos","year":"2025","unstructured":"Campos, J.P.A.F., Machado, I.G., Bessani, M.: Multi-agent genetic algorithm for bayesian networks structural learning. Knowledge-Based Systems 310, 113025 (2025)","journal-title":"Knowledge-Based Systems"},{"key":"5873_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.113146","volume":"312","author":"D De Santis","year":"2025","unstructured":"De Santis, D., Landete, M., Cabezas, X., Sanchis, J.M., Peir\u00f3, J.: A modified single-objective genetic algorithm for solving the rural postman problem with load-dependent costs. Knowledge-Based Systems 312, 113146 (2025)","journal-title":"Knowledge-Based Systems"},{"key":"5873_CR14","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In Proceedings of ICNN\u201995 - International Conference on Neural Networks, 4, 1942\u20131948 vol.4, (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"5873_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112699","volume":"306","author":"S Gupta","year":"2024","unstructured":"Gupta, S., Gupta, S.: Fitness and historical success information-assisted binary particle swarm optimization for feature selection. Knowledge-Based Systems 306, 112699 (2024)","journal-title":"Knowledge-Based Systems"},{"key":"5873_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112116","volume":"300","author":"S Ma","year":"2024","unstructured":"Ma, S., Chen, Z., Zhang, D., Yixian, D., Zhang, X., Liu, Q.: Interpretable multi-task neural network modeling and particle swarm optimization of process parameters in laser welding. Knowl.-Based Syst. 300, 112116 (2024)","journal-title":"Knowl.-Based Syst."},{"issue":"1","key":"5873_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2011.08.006","volume":"183","author":"RV Rao","year":"2012","unstructured":"Rao, R.V., Savsani, V.J., Vakharia, D.P.: Teaching\u2013learning-based optimization: an optimization method for continuous non-linear large scale problems. Information Sciences 183(1), 1\u201315 (2012)","journal-title":"Information Sciences"},{"key":"5873_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109989","volume":"258","author":"H Dong","year":"2022","unstructured":"Dong, H., Yunlang, X., Cao, D., Zhang, W., Yang, Z., Li, X.: An improved teaching-learning-based optimization algorithm with a modified learner phase and a new mutation-restarting phase. Knowl.-Based Syst. 258, 109989 (2022)","journal-title":"Knowl.-Based Syst."},{"key":"5873_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110252","volume":"263","author":"D Lei","year":"2023","unstructured":"Lei, D., Bin, S.: A multi-class teaching-learning-based optimization for multi-objective distributed hybrid flow shop scheduling. Knowl.-Based Syst. 263, 110252 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"5873_CR20","first-page":"19","volume":"7","author":"R Venkata Rao","year":"2016","unstructured":"Venkata Rao, R.: Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int. J. Ind. Eng. Comput. 7, 19\u201334 (2016)","journal-title":"Int. J. Ind. Eng. Comput."},{"key":"5873_CR21","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.apenergy.2019.01.008","volume":"237","author":"K Yu","year":"2019","unstructured":"Yu, K., Qu, B., Yue, C., Ge, S., Chen, X., Liang, J.: A performance-guided jaya algorithm for parameters identification of photovoltaic cell and module. Applied Energy 237, 241\u2013257 (2019)","journal-title":"Applied Energy"},{"key":"5873_CR22","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.isatra.2021.01.045","volume":"116","author":"M Premkumar","year":"2021","unstructured":"Premkumar, M., Jangir, P., Sowmya, R., Elavarasan, R.M., Kumar, B.S.: Enhanced chaotic jaya algorithm for parameter estimation of photovoltaic cell\/modules. ISA Trans. 116, 139\u2013166 (2021)","journal-title":"ISA Trans."},{"issue":"5","key":"5873_CR23","doi-asserted-by":"publisher","first-page":"1944","DOI":"10.1109\/TCYB.2018.2817240","volume":"49","author":"K Gao","year":"2018","unstructured":"Gao, K., Yang, F., Zhou, M., Pan, Q., Suganthan, P.N.: Flexible job-shop rescheduling for new job insertion by using discrete jaya algorithm. IEEE Trans. Cybern. 49(5), 1944\u20131955 (2018)","journal-title":"IEEE Trans. Cybern."},{"key":"5873_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107804","volume":"236","author":"A Chaudhuri","year":"2022","unstructured":"Chaudhuri, A., Sahu, T.P.: Multi-objective feature selection based on quasi-oppositional based jaya algorithm for microarray data. Knowledge-Based Systems 236, 107804 (2022)","journal-title":"Knowledge-Based Systems"},{"key":"5873_CR25","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1016\/j.enconman.2017.08.063","volume":"150","author":"K Yu","year":"2017","unstructured":"Yu, K., Liang, J.J., Qu, B.Y., Chen, X., Wang, H.: Parameters identification of photovoltaic models using an improved jaya optimization algorithm. Energy Conversion and Management 150, 742\u2013753 (2017)","journal-title":"Energy Conversion and Management"},{"key":"5873_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107555","volume":"233","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Chi, A., Mirjalili, S.: Enhanced jaya algorithm: a simple but efficient optimization method for constrained engineering design problems. Knowledge-Based Systems 233, 107555 (2021)","journal-title":"Knowledge-Based Systems"},{"issue":"5","key":"5873_CR27","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1007\/s10845-020-01723-6","volume":"33","author":"Yiying Zhang","year":"2022","unstructured":"Zhang, Yiying, Jin, Zhigang: Comprehensive learning jaya algorithm for engineering design optimization problems. J. Intell. Manuf. 33(5), 1229\u20131253 (2022)","journal-title":"J. Intell. Manuf."},{"key":"5873_CR28","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.enconman.2017.02.068","volume":"140","author":"RV Rao","year":"2017","unstructured":"Rao, R.V., More, K.C.: Design optimization and analysis of selected thermal devices using self-adaptive jaya algorithm. Energy Convers. Manage. 140, 24\u201335 (2017)","journal-title":"Energy Convers. Manage."},{"key":"5873_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106252","volume":"91","author":"W Warid","year":"2020","unstructured":"Warid, W.: Optimal power flow using the amtpg-jaya algorithm. Appl. Soft Comput. 91, 106252 (2020)","journal-title":"Appl. Soft Comput."},{"key":"5873_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105576","volume":"82","author":"M Aslan","year":"2019","unstructured":"Aslan, M., Gunduz, M., Kiran, M.S.: Jayax: jaya algorithm with xor operator for binary optimization. Applied Soft Computing 82, 105576 (2019)","journal-title":"Applied Soft Computing"},{"issue":"1","key":"5873_CR31","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/TSTE.2017.2714705","volume":"9","author":"C Huang","year":"2017","unstructured":"Huang, C., Wang, L., Yeung, R.S.-C., Zhang, Z., Chung, H.S.-H., Bensoussan, A.: A prediction model-guided jaya algorithm for the pv system maximum power point tracking. IEEE Trans. Sustain. Energy 9(1), 45\u201355 (2017)","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"5873_CR32","unstructured":"Baluja, S.: Population-based incremental learning. a method for integrating genetic search based function optimization and competitive learning. Technical report, Carnegie-Mellon Univ Pittsburgh Pa Dept Of Computer Science, (1994)"},{"key":"5873_CR33","doi-asserted-by":"crossref","unstructured":"Sebag, M., Ducoulombier, A.: Extending population-based incremental learning to continuous search spaces. In Parallel Problems Solving from Nature-PPSN V, 418\u2013427. Springer, Lecture Notes in Computer Sciences 1498, (1998)","DOI":"10.1007\/BFb0056884"},{"key":"5873_CR34","volume-title":"Number-theoretic Methods in Statistics","author":"Kai-Tai Fang","year":"1993","unstructured":"Fang, Kai-Tai., Wang, Yuan: Number-theoretic Methods in Statistics, vol. 51. CRC Press, United States (1993)"},{"issue":"1","key":"5873_CR35","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.752920","volume":"3","author":"Q Zhang","year":"1999","unstructured":"Zhang, Q., Leung, Y.-W.: An orthogonal genetic algorithm for multimedia multicast routing. IEEE Trans. Evol. Comput. 3(1), 53\u201362 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"5873_CR36","doi-asserted-by":"crossref","unstructured":"Zhan, Z.-H., Zhang, J., Liu, O.: Orthogonal learning particle swarm optimization. In Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 1763\u20131764, (2009)","DOI":"10.1145\/1569901.1570147"},{"issue":"3","key":"5873_CR37","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1109\/TSMCB.2012.2222373","volume":"43","author":"W Gao","year":"2013","unstructured":"Gao, W., Liu, S., Huang, L.: A novel artificial bee colony algorithm based on modified search equation and orthogonal learning. IEEE Trans. Cybern. 43(3), 1011\u20131024 (2013)","journal-title":"IEEE Trans. Cybern."},{"issue":"11","key":"5873_CR38","doi-asserted-by":"publisher","first-page":"6723","DOI":"10.1109\/TSMC.2020.2963943","volume":"51","author":"L Ma","year":"2020","unstructured":"Ma, L., Cheng, S., Shi, Y.: Enhancing learning efficiency of brain storm optimization via orthogonal learning design. IEEE Trans. Syst. Man, Cybern. Syst. 51(11), 6723\u20136742 (2020)","journal-title":"IEEE Trans. Syst. Man, Cybern. Syst."},{"key":"5873_CR39","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1016\/j.matcom.2021.09.014","volume":"192","author":"FK Onay","year":"2022","unstructured":"Onay, F.K., Aydemr, S.B.: Chaotic hunger games search optimization algorithm for global optimization and engineering problems. Math. Comput. Simul. 192, 514\u2013536 (2022)","journal-title":"Math. Comput. Simul."},{"key":"5873_CR40","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.ins.2021.11.076","volume":"586","author":"Z Meng","year":"2022","unstructured":"Meng, Z., Zhong, Y., Mao, G., Liang, Y.: Pso-sono: a novel pso variant for single-objective numerical optimization. Information Sciences 586, 176\u2013191 (2022)","journal-title":"Information Sciences"},{"key":"5873_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113353","volume":"152","author":"H Liu","year":"2020","unstructured":"Liu, H., Zhang, X.-W., Liang-Ping, T.: A modified particle swarm optimization using adaptive strategy. Expert Syst. Appl. 152, 113353 (2020)","journal-title":"Expert Syst. Appl."},{"key":"5873_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105841","volume":"85","author":"XW Zhang","year":"2019","unstructured":"Zhang, X.W., Liu, H., Zhang, T., Wang, Q.W., Wang, Y., LiangPing, T.: Terminal crossover and steering-based particle swarm optimization algorithm with disturbance. Appl. Soft Comput. 85, 105841 (2019)","journal-title":"Appl. Soft Comput."},{"issue":"5","key":"5873_CR43","doi-asserted-by":"publisher","first-page":"2415","DOI":"10.1007\/s40747-021-00404-y","volume":"7","author":"X Peilan","year":"2021","unstructured":"Peilan, X., Luo, W., Lin, X., Cheng, S., Shi, Y.: Bso20: efficient brain storm optimization for real-parameter numerical optimization. Complex Intell. Syst. 7(5), 2415\u20132436 (2021)","journal-title":"Complex Intell. Syst."},{"key":"5873_CR44","doi-asserted-by":"crossref","unstructured":"Mohamed, A.W., Hadi, A.A., Fattouh, A.M., Jambi, K.M.: Lshade with semi-parameter adaptation hybrid with cma-es for solving cec 2017 benchmark problems. In 2017 IEEE Congress on Evolutionary Computation (CEC), 145\u2013152, (2017)","DOI":"10.1109\/CEC.2017.7969307"},{"key":"5873_CR45","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"J Derrac","year":"2011","unstructured":"Derrac, J., Garc\u00eda, S., Molina, D., Herrera, F.: A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol. Comput. 1, 3\u201318 (2011)","journal-title":"Swarm Evol. Comput."},{"key":"5873_CR46","first-page":"1","volume":"31","author":"K Hussain","year":"2018","unstructured":"Hussain, K., Salleh, M.N.M., Cheng, S., Shi, Y.: On the exploration and exploitation in popular swarm-based metaheuristic algorithms. Neural Comput. Appl. 31, 1\u201319 (2018)","journal-title":"Neural Comput. Appl."},{"key":"5873_CR47","volume-title":"Evolutionary Algorithms for Single and Multicriteria Design Optimization","author":"A Osyczka","year":"2002","unstructured":"Osyczka, A., Osyczka, A.: Evolutionary Algorithms for Single and Multicriteria Design Optimization, vol. 79. Springer, Germany (2002)"},{"key":"5873_CR48","unstructured":"Rao, S.S.: Further topics in optimization. Engineering Optimization: Theory and Practice, 779\u2013783, (1996)"},{"issue":"10","key":"5873_CR49","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1016\/j.mechmachtheory.2006.10.002","volume":"42","author":"S Gupta","year":"2007","unstructured":"Gupta, S., Tiwari, R., Nair, S.B.: Multi-objective design optimisation of rolling bearings using genetic algorithms. Mechanism and Machine Theory 42(10), 1418\u20131443 (2007)","journal-title":"Mechanism and Machine Theory"},{"key":"5873_CR50","unstructured":"Himmelblau, D.M.: Applied nonlinear programming. mcgraw-hill companies. (1972)"},{"key":"5873_CR51","volume-title":"Beightler and Donald Thomas Phillips","author":"S Charles","year":"1976","unstructured":"Charles, S.: Beightler and Donald Thomas Phillips. Wiley, Applied geometric programming (1976)"},{"key":"5873_CR52","doi-asserted-by":"crossref","unstructured":"Sandgren, E.: Nonlinear integer and discrete programming in mechanical design. In International design engineering technical conferences and computers and information in engineering conference, volume 26584, pages 95\u2013105. American Society of Mechanical Engineers, (1988)","DOI":"10.1115\/DETC1988-0012"},{"key":"5873_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2020.100693","volume":"56","author":"A Kumar","year":"2020","unstructured":"Kumar, A., Wu, G., Ali, M.Z., Mallipeddi, R., Suganthan, P.N., Das, S.: A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm and Evolutionary Computation 56, 100693 (2020)","journal-title":"Swarm and Evolutionary Computation"},{"key":"5873_CR54","doi-asserted-by":"publisher","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. Engineering Applications of Artificial Intelligence 94, 103731 (2020)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"5873_CR55","doi-asserted-by":"publisher","first-page":"2305","DOI":"10.1007\/s00521-016-2823-5","volume":"30","author":"HTT Binh","year":"2018","unstructured":"Binh, H.T.T., Hanh, N.T., Van Quan, L., Dey, N.: Improved cuckoo search and chaotic flower pollination optimization algorithm for maximizing area coverage in wireless sensor networks. Neural Computing and Applications 30, 2305\u20132317 (2018)","journal-title":"Neural Computing and Applications"},{"key":"5873_CR56","doi-asserted-by":"publisher","first-page":"174830261988949","DOI":"10.1177\/1748302619889498","volume":"13","author":"Z Wang","year":"2019","unstructured":"Wang, Z., Xie, H., Zhongdong, H., Li, D., Wang, J., Liang, W.: Node coverage optimization algorithm for wireless sensor networks based on improved grey wolf optimizer. J. Algorithms Comput. Technol. 13, 1748302619889498 (2019)","journal-title":"J. Algorithms Comput. Technol."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-025-05873-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-025-05873-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-025-05873-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T17:02:57Z","timestamp":1767718977000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-025-05873-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,6]]},"references-count":56,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["5873"],"URL":"https:\/\/doi.org\/10.1007\/s10586-025-05873-1","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,6]]},"assertion":[{"value":"25 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 November 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 November 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2026","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 conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interest"}}],"article-number":"88"}}