{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T14:42:19Z","timestamp":1763563339707,"version":"3.45.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T00:00:00Z","timestamp":1763510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T00:00:00Z","timestamp":1763510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"JST SPRING","award":["JPMJSP2119"],"award-info":[{"award-number":["JPMJSP2119"]}]},{"name":"JSPS KAKENHI","award":["21A402 and 24K15098"],"award-info":[{"award-number":["21A402 and 24K15098"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"DOI":"10.1007\/s11227-025-08066-0","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T14:35:55Z","timestamp":1763562955000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Tri-subpopulation sigmoid-enhanced sine-cosine algorithm and its application to gene function prediction problem"],"prefix":"10.1007","volume":"81","author":[{"given":"Yang","family":"Cao","sequence":"first","affiliation":[]},{"given":"Yuefeng","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Xingbang","family":"Du","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Zhong","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Masaharu","family":"Munetomo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,19]]},"reference":[{"key":"8066_CR1","doi-asserted-by":"crossref","unstructured":"Cuevas E, Aguirre N, Barba O, V\u00e1squez-Franco M (2025) Learning strategies in metaheuristics, pp 135\u2013173","DOI":"10.1007\/978-3-031-89284-4_5"},{"key":"8066_CR2","doi-asserted-by":"crossref","unstructured":"Beltran L, Navarro-Vel\u00e1zquez M, Escobar H, Aguirre N, Elsayed Abd\u00a0Elaziz M, Abualigah L (2025) Grouping and partitioning methods in metaheuristic algorithms, pp 53\u201376","DOI":"10.1007\/978-3-031-78440-8_3"},{"key":"8066_CR3","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-87013-8","author":"Y Cao","year":"2025","unstructured":"Cao Y, Yu J, Zhong R, Munetomo M (2025) Forecasting renewable energy and electricity consumption using evolutionary hyperheuristic algorithm. Sci Rep. https:\/\/doi.org\/10.1038\/s41598-025-87013-8","journal-title":"Sci Rep"},{"key":"8066_CR4","doi-asserted-by":"publisher","DOI":"10.1177\/18758967251353378","author":"B Song","year":"2025","unstructured":"Song B, Jiang X, Yan H, Yan H (2025) Optimization of active response efficiency of power demand side based on discrete particle swarm optimization. J Intell Fuzzy Syst Appl Eng Technol. https:\/\/doi.org\/10.1177\/18758967251353378","journal-title":"J Intell Fuzzy Syst Appl Eng Technol"},{"key":"8066_CR5","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s41660-024-00468-6","volume":"9","author":"J Ge","year":"2024","unstructured":"Ge J (2024) Research on economic environment scheduling optimization of power system based on multi-objective particle swarm optimization. Process Integr Optim Sustain 9:275\u2013290","journal-title":"Process Integr Optim Sustain"},{"key":"8066_CR6","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/deaf097.457","author":"C Rodr\u00edguez","year":"2025","unstructured":"Rodr\u00edguez C, Marque\u00f1o S, Arco A, Bori L, Caparr\u00f3s B, Bellver J, Meseguer M (2025) P-148 genetic algorithm outperforms viability algorithm in differentiating euploid and aneuploid embryos: a case for genetic precision in AI-based evaluation. Hum Reprod. https:\/\/doi.org\/10.1093\/humrep\/deaf097.457","journal-title":"Hum Reprod"},{"key":"8066_CR7","doi-asserted-by":"crossref","unstructured":"Inceyol Y (2025) A novel approach to land redistribution using clonal selection algorithm: Comparative performance analysis with genetic algorithms. Trans GIS 29","DOI":"10.1111\/tgis.70074"},{"key":"8066_CR8","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.3390\/math13101647","volume":"13","author":"S-K Chen","year":"2025","unstructured":"Chen S-K, Wu G-H, Wu Y-H (2025) Memory-based differential evolution algorithms with self-adaptive parameters for optimization problems. Mathematics 13:1647","journal-title":"Mathematics"},{"key":"8066_CR9","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.aej.2025.01.107","volume":"119","author":"Y-C Wang","year":"2025","unstructured":"Wang Y-C, Wang J-S, Zhang M, Song H-M, Hou J-N, Qi Y-L, Song Y-W (2025) Relieff guided variable spiral tuna swarm optimization algorithm with somersault foraging for feature selection. Alex Eng J 119:168\u2013188","journal-title":"Alex Eng J"},{"key":"8066_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2025.100639","volume":"29","author":"Y-C Wang","year":"2025","unstructured":"Wang Y-C, Song H-M, Wang J-S, Ma X-R, Song Y-W, Qi Y-L (2025) Multi-strategy fusion binary SHO guided by Pearson correlation coefficient for feature selection with cancer gene expression data. Egypt Inform J 29:100639","journal-title":"Egypt Inform J"},{"key":"8066_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108766","volume":"121","author":"X-D Li","year":"2022","unstructured":"Li X-D, Wang J-S, Hao W-K, Wang M, Zhang M (2022) Multi-layer perceptron classification method of medical data based on biogeography-based optimization algorithm with probability distributions. Appl Soft Comput 121:108766","journal-title":"Appl Soft Comput"},{"key":"8066_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122349","volume":"239","author":"Z Yang","year":"2023","unstructured":"Yang Z (2023) Competing leaders grey wolf optimizer and its application for training multi-layer perceptron classifier. Expert Syst Appl 239:122349","journal-title":"Expert Syst Appl"},{"key":"8066_CR13","doi-asserted-by":"crossref","unstructured":"Bansal J, Bajpai P, Rawat A, Nagar A (2023) Advancements in the sine cosine algorithm, pp 87\u2013103","DOI":"10.1007\/978-981-19-9722-8_5"},{"key":"8066_CR14","unstructured":"Mohamed B, Lamine F, Chafea S, Kara K (2025) Constrained neural network-based model predictive control for quadrotors using the sine cosine algorithm. Period Polytech Electr Eng Computer Sci"},{"key":"8066_CR15","doi-asserted-by":"crossref","unstructured":"Guo P, Wang T, Wang J, Zhang S, Wang J, Wang L (2025) Surface topography model for ball-end milling process based on modified sine-cosine algorithm. Surf Topogr: Metrol Prop 13","DOI":"10.1088\/2051-672X\/add715"},{"key":"8066_CR16","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1504\/IJCVR.2025.144779","volume":"15","author":"G Shial","year":"2025","unstructured":"Shial G, Tripathy C, Sahoo S, Panigrahi S (2025) A sine-cosine algorithm blended grey wolf optimisation algorithm for partitional clustering. Int J Comput Vis Robot 15:198\u2013232","journal-title":"Int J Comput Vis Robot"},{"key":"8066_CR17","unstructured":"Po\u00a0Chan C, Selamat A, Kuok K (2024) Sine cosine algorithm based neural network for rainfall data imputation, pp 194\u2013207"},{"key":"8066_CR18","doi-asserted-by":"crossref","unstructured":"Cao Y, Zhong R, Yu J, Munetomo M (2025) Adjacent distance matrix-based competitive swarm optimizer, pp 38\u201351","DOI":"10.1007\/978-3-031-90062-4_3"},{"key":"8066_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2024.101779","volume":"91","author":"M Ghazaan","year":"2024","unstructured":"Ghazaan M, Salmani Oshnari A, Salmani Oshnari A (2024) A novel adaptive optimization scheme for advancing metaheuristics and global optimization. Swarm Evol Comput 91:101779","journal-title":"Swarm Evol Comput"},{"key":"8066_CR20","doi-asserted-by":"crossref","unstructured":"Gao Y, Wang J, Qin L, Zhang J, Wang Y (2025) Freedom from inspiration! achieving efficient metaheuristic optimization with delta plus. Cluster Comput 28","DOI":"10.1007\/s10586-024-05094-y"},{"key":"8066_CR21","doi-asserted-by":"crossref","unstructured":"Mirjalili S (2016) SCA: a sine cosine algorithm for solving optimization problems. Knowl Based Syst 96","DOI":"10.1016\/j.knosys.2015.12.022"},{"key":"8066_CR22","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1504\/IJCVR.2025.144779","volume":"15","author":"G Shial","year":"2025","unstructured":"Shial G, Tripathy C, Sahoo S, Panigrahi S (2025) A sine-cosine algorithm blended grey wolf optimisation algorithm for partitional clustering. Int J Comput Vis Robot 15:198\u2013232","journal-title":"Int J Comput Vis Robot"},{"key":"8066_CR23","first-page":"1","volume":"16","author":"V Shinde","year":"2023","unstructured":"Shinde V, Jha R, Mishra D (2023) Improved chaotic sine cosine algorithm (ICSCA) for global optima. Int J Inf Technol 16:1\u201316","journal-title":"Int J Inf Technol"},{"key":"8066_CR24","doi-asserted-by":"crossref","unstructured":"Elsayed Abd Elaziz M, Oliva D, Xiong S (2017) An improved opposition-based sine cosine algorithm for global optimization. Expert Syst Appl 90","DOI":"10.1016\/j.eswa.2017.07.043"},{"key":"8066_CR25","doi-asserted-by":"crossref","unstructured":"Gupta S, Deep K (2018) Improved sine cosine algorithm with crossover scheme for global optimization. Knowl-Based Syst 165","DOI":"10.1016\/j.knosys.2018.12.008"},{"key":"8066_CR26","doi-asserted-by":"crossref","unstructured":"Wang M, Lu G (2021) A modified sine cosine algorithm for solving optimization problems. IEEE Access PP, 1\u20131","DOI":"10.1109\/ACCESS.2021.3058128"},{"key":"8066_CR27","first-page":"108","volume":"13","author":"S Dunia","year":"2018","unstructured":"Dunia S, Al-Waily R (2018) Chaotic sine-cosine optimization algorithms. Int J Soft Comput 13:108\u2013122","journal-title":"Int J Soft Comput"},{"key":"8066_CR28","doi-asserted-by":"crossref","unstructured":"Liu J, Bi C, Chen H, Heidari AA, Chen H (2025) Triangular-based sine cosine algorithm for global search and feature selection. Sci Rep 15","DOI":"10.1038\/s41598-025-95545-2"},{"key":"8066_CR29","doi-asserted-by":"publisher","first-page":"13471","DOI":"10.1007\/s10586-024-04602-4","volume":"27","author":"MH Nadimi-Shahraki","year":"2024","unstructured":"Nadimi-Shahraki MH, Taghian S, Javaheri D, Sadiq A, Khodadadi N, Mirjalili S (2024) MTV-SCA: multi-trial vector-based sine cosine algorithm. Clust Comput 27:13471\u201313515","journal-title":"Clust Comput"},{"key":"8066_CR30","doi-asserted-by":"crossref","unstructured":"Van Thieu N (2024) Opfunu: an open-source python library for optimization benchmark functions. J Open Res Softw","DOI":"10.5334\/jors.508"},{"key":"8066_CR31","doi-asserted-by":"crossref","unstructured":"Van\u00a0Thieu N, Mirjalili S (2023) Mealpy: an open-source library for latest meta-heuristic algorithms in python. J Syst Archit","DOI":"10.1016\/j.sysarc.2023.102871"},{"key":"8066_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2022.129034","volume":"617","author":"N Van Thieu","year":"2023","unstructured":"Van Thieu N, Barma SD, Van Lam T, Kisi O, Mahesha A (2023) Groundwater level modeling using augmented artificial ecosystem optimization. J Hydrol 617:129034","journal-title":"J Hydrol"},{"key":"8066_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107282","volume":"105","author":"AN Ahmed","year":"2021","unstructured":"Ahmed AN, Van Lam T, Hung ND, Van Thieu N, Kisi O, El-Shafie A (2021) A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem. Appl Soft Comput 105:107282","journal-title":"Appl Soft Comput"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-025-08066-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-025-08066-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-025-08066-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T14:36:00Z","timestamp":1763562960000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-025-08066-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,19]]},"references-count":33,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2025,11]]}},"alternative-id":["8066"],"URL":"https:\/\/doi.org\/10.1007\/s11227-025-08066-0","relation":{},"ISSN":["1573-0484"],"issn-type":[{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,19]]},"assertion":[{"value":"30 October 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 November 2025","order":3,"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 no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"1579"}}