{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:29:12Z","timestamp":1766428152435,"version":"3.44.0"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T00:00:00Z","timestamp":1745798400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T00:00:00Z","timestamp":1745798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFF0503900","2022YFF0503900","2022YFF0503900","2022YFF0503900"],"award-info":[{"award-number":["2022YFF0503900","2022YFF0503900","2022YFF0503900","2022YFF0503900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s10586-024-04905-6","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T10:58:08Z","timestamp":1745837888000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Join query optimization in distributed database based on multi-source mating selection evolutionary algorithm"],"prefix":"10.1007","volume":"28","author":[{"given":"Yan","family":"Du","sequence":"first","affiliation":[]},{"given":"Zhiming","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Zhi","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Yuanying","family":"Chi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"issue":"3","key":"4905_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2491245","volume":"31","author":"JC Corbett","year":"2013","unstructured":"Corbett, J.C., Dean, J., Epstein, M., et al.: Spanner: Google\u2019s globally distributed database[J]. ACM Transactions on Computer Systems (TOCS) 31(3), 1\u201322 (2013)","journal-title":"ACM Transactions on Computer Systems (TOCS)"},{"issue":"9","key":"4905_CR2","doi-asserted-by":"publisher","first-page":"4539","DOI":"10.1109\/TIT.2010.2054295","volume":"56","author":"AG Dimakis","year":"2010","unstructured":"Dimakis, A.G., Godfrey, P.B., Wu, Y., et al.: Network coding for distributed storage systems[J]. IEEE transactions on information theory 56(9), 4539\u20134551 (2010)","journal-title":"IEEE transactions on information theory"},{"key":"4905_CR3","doi-asserted-by":"publisher","first-page":"15320","DOI":"10.1109\/ACCESS.2021.3052799","volume":"9","author":"AM Khedr","year":"2021","unstructured":"Khedr, A.M., Al Aghbari, Z., Al Ali, A., et al.: An efficient association rule mining from distributed medical databases for predicting heart diseases[J]. IEEE Access 9, 15320\u201315333 (2021)","journal-title":"IEEE Access"},{"key":"4905_CR4","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/s00778-014-0377-7","volume":"24","author":"K Ren","year":"2015","unstructured":"Ren, K., Thomson, A., Abadi, D.J.: VLL: a lock manager redesign for main memory database systems[J]. The VLDB Journal 24, 681\u2013705 (2015)","journal-title":"The VLDB Journal"},{"issue":"4","key":"4905_CR5","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1007\/s00778-021-00660-x","volume":"30","author":"M Hewasinghage","year":"2021","unstructured":"Hewasinghage, M., Abell\u00f3, A., Varga, J., et al.: A cost model for random access queries in document stores[J]. The VLDB Journal 30(4), 559\u2013578 (2021)","journal-title":"The VLDB Journal"},{"key":"4905_CR6","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/s00778-017-0476-3","volume":"27","author":"M Eich","year":"2018","unstructured":"Eich, M., Fender, P., Moerkotte, G.: Efficient generation of query plans containing group-by, join, and groupjoin[J]. The VLDB Journal 27, 617\u2013641 (2018)","journal-title":"The VLDB Journal"},{"key":"4905_CR7","doi-asserted-by":"crossref","unstructured":"Yang, X., Li, L., Ng Y.K., et al.: Associated load shedding strategies for computing multi-joins in sensor networks[C]\/\/Database Systems for Advanced Applications: 11th International Conference, DASFAA 2006, Singapore, April 12-15, Proceedings 11. Springer Berlin Heidelberg, 2006: 50-64 (2006)","DOI":"10.1007\/11733836_6"},{"issue":"2","key":"4905_CR8","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1007\/s41019-022-00181-9","volume":"7","author":"M Ha","year":"2022","unstructured":"Ha, M., Shichkina, Y.: Translating a distributed relational database to a document database[J]. Data Science and Engineering 7(2), 136\u2013155 (2022)","journal-title":"Data Science and Engineering"},{"issue":"15","key":"4905_CR9","doi-asserted-by":"publisher","first-page":"6934","DOI":"10.1016\/j.eswa.2014.05.005","volume":"41","author":"FACA Gon\u00e7alves","year":"2014","unstructured":"Gon\u00e7alves, F.A.C.A., Guimar\u00e3es, F.G., Souza, M.J.F.: Query join ordering optimization with evolutionary multi-agent systems[J]. Expert Systems with Applications 41(15), 6934\u20136944 (2014)","journal-title":"Expert Systems with Applications"},{"issue":"11","key":"4905_CR10","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1145\/2996868","volume":"59","author":"A Putnam","year":"2016","unstructured":"Putnam, A., Caulfield, A.M., Chung, E.S., et al.: A reconfigurable fabric for accelerating large-scale datacenter services[J]. Communications of the ACM 59(11), 114\u2013122 (2016)","journal-title":"Communications of the ACM"},{"key":"4905_CR11","unstructured":"Bertsekas, D., Gallager, R.: Data networks[M]. Athena Scientific, (2021)"},{"key":"4905_CR12","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s10115-012-0608-4","volume":"39","author":"L Golshanara","year":"2014","unstructured":"Golshanara, L., Rouhani Rankoohi, S.M.T., Shah-Hosseini, H.: A multi-colony ant algorithm for optimizing join queries in distributed database systems[J]. Knowledge and Information Systems 39, 175\u2013206 (2014)","journal-title":"Knowledge and Information Systems"},{"key":"4905_CR13","first-page":"224","volume":"2019","author":"Tiwari P, Chande S V. Join Query Optimization Using Genetic Ant Colony Optimization Algorithm for Distributed Databases[C]\/\/Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics: Second International Conference, ICETCE","year":"2019","unstructured":"Tiwari P, Chande S V. Join Query Optimization Using Genetic Ant Colony Optimization Algorithm for Distributed Databases[C]\/\/Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics: Second International Conference, ICETCE: Jaipur, India, February 1\u20132, 2019, Revised Selected Papers 2. Springer Singapore 2019, 224\u2013239 (2019)","journal-title":"Springer Singapore"},{"key":"4905_CR14","first-page":"581","volume":"2","author":"W Ban","year":"2015","unstructured":"Ban, W., Lin, J., Tong, J., et al.: Query optimization of distributed database based on parallel genetic algorithm and max-min ant system[C]\/\/2015 8th International Symposium on Computational Intelligence and Design (ISCID). IEEE 2, 581\u2013585 (2015)","journal-title":"IEEE"},{"key":"4905_CR15","unstructured":"Ding, W., Xiaolei, L.V.: Database multi-joint query optimization based on generic-tabu algorithm[J]. Journal of Convergence Information Technology (JCIT), 5(16) (2012)"},{"key":"4905_CR16","doi-asserted-by":"publisher","first-page":"15833","DOI":"10.1109\/ACCESS.2021.3049544","volume":"9","author":"SA Mohsin","year":"2021","unstructured":"Mohsin, S.A., Darwish, S.M., Younes, A.: Qiaco: a quantum dynamic cost ant system for query optimization in distributed database[J]. IEEE Access 9, 15833\u201315846 (2021)","journal-title":"IEEE Access"},{"key":"4905_CR17","first-page":"211","volume":"I","author":"A Hameurlain","year":"2009","unstructured":"Hameurlain, A., Morvan, F.: Evolution of query optimization methods[J]. Transactions on Large-Scale Data-and Knowledge-Centered Systems I, 211\u2013242 (2009)","journal-title":"Transactions on Large-Scale Data-and Knowledge-Centered Systems"},{"key":"4905_CR18","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/j.procs.2015.06.033","volume":"54","author":"V Mishra","year":"2015","unstructured":"Mishra, V., Singh, V.: Generating optimal query plans for distributed query processing using teacher-learner based optimization[J]. Procedia Computer Science 54, 281\u2013290 (2015)","journal-title":"Procedia Computer Science"},{"issue":"17","key":"4905_CR19","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5218","volume":"31","author":"V Panahi","year":"2019","unstructured":"Panahi, V., Navimipour, N.J.: Join query optimization in the distributed database system using an artificial bee colony algorithm and genetic operators[J]. Concurrency and Computation: Practice and Experience 31(17), e5218 (2019)","journal-title":"Concurrency and Computation: Practice and Experience"},{"issue":"2","key":"4905_CR20","doi-asserted-by":"publisher","first-page":"846","DOI":"10.3390\/app14020846","volume":"14","author":"Y Du","year":"2024","unstructured":"Du, Y., Cai, Z., Ding, Z.: Query Optimization in Distributed Database Based on Improved Artificial Bee Colony Algorithm[J]. Applied Sciences 14(2), 846 (2024)","journal-title":"Applied Sciences"},{"issue":"1","key":"4905_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/ijamc.2015010101","volume":"6","author":"TVV Kumar","year":"2015","unstructured":"Kumar, T.V.V., Singh, R., Kumar, A.: Distributed query plan generation using ant colony optimization[J]. International Journal of Applied Metaheuristic Computing (IJAMC) 6(1), 1\u201322 (2015)","journal-title":"International Journal of Applied Metaheuristic Computing (IJAMC)"},{"key":"4905_CR22","doi-asserted-by":"crossref","unstructured":"Kumar Yadav, P., Rizvi, S.: Analysis of two phase query optimization algorithm for generating optimal query plan using randomized algorithm[C]\/\/Proceedings of the International Conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC). (2019)","DOI":"10.2139\/ssrn.3579179"},{"key":"4905_CR23","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1007\/s10619-018-7220-x","volume":"36","author":"M Jafarinejad","year":"2018","unstructured":"Jafarinejad, M., Amini, M.: Multi-join query optimization in bucket-based encrypted databases using an enhanced ant colony optimization algorithm[J]. Distributed and Parallel Databases 36, 399\u2013441 (2018)","journal-title":"Distributed and Parallel Databases"},{"key":"4905_CR24","doi-asserted-by":"publisher","first-page":"4640","DOI":"10.1109\/ACCESS.2022.3141589","volume":"10","author":"B Zheng","year":"2022","unstructured":"Zheng, B., Li, X., Tian, Z., et al.: Optimization method for distributed database query based on an adaptive Double entropy genetic algorithm[J]. IEEE Access 10, 4640\u20134648 (2022)","journal-title":"IEEE Access"},{"key":"4905_CR25","unstructured":"Azhir, E., Navimipour, N.J., Hosseinzadeh, M., et al.: Join queries optimization in the distributed databases using a hybrid multi-objective algorithm[J]. Cluster Computing, (2022): 1-16"},{"issue":"3","key":"4905_CR26","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1504\/IJBIC.2021.114883","volume":"17","author":"M Yazdani","year":"2021","unstructured":"Yazdani, M., Navimipour, N.J.: Join query optimisation in the distributed databases using a hybrid harmony search and artificial bee colony algorithm[J]. International Journal of Bio-Inspired Computation 17(3), 189\u2013198 (2021)","journal-title":"International Journal of Bio-Inspired Computation"},{"key":"4905_CR27","doi-asserted-by":"crossref","unstructured":"Mohsin, S.A., Darwish, S.M., Younes, A.: Dynamic cost ant colony algorithm for optimize distributed database query[C]\/\/Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). Springer International Publishing, 170-181 (2020)","DOI":"10.1007\/978-3-030-44289-7_17"},{"issue":"2","key":"4905_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3589273","volume":"1","author":"S Grafberger","year":"2023","unstructured":"Grafberger, S., Groth, P., Schelter, S.: Automating and optimizing data-centric what-if analyses on native machine learning pipelines[J]. Proceedings of the ACM on Management of Data 1(2), 1\u201326 (2023)","journal-title":"Proceedings of the ACM on Management of Data"},{"key":"4905_CR29","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/s13748-018-0154-8","volume":"8","author":"M Sharma","year":"2019","unstructured":"Sharma, M., Singh, G., Singh, R.: A review of different cost-based distributed query optimizers[J]. Progress in Artificial Intelligence 8, 45\u201362 (2019)","journal-title":"Progress in Artificial Intelligence"},{"key":"4905_CR30","doi-asserted-by":"crossref","unstructured":"\u00d6zsu, M.T., Valduriez, P., \u00d6zsu, M.T, et al.: Distributed query processing[J]. Principles of distributed database systems, 129-182 (2020)","DOI":"10.1007\/978-3-030-26253-2_4"},{"key":"4905_CR31","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1007\/s11390-020-9901-y","volume":"36","author":"ZB Ozger","year":"2021","unstructured":"Ozger, Z.B., Uslu, N.Y.: An effective discrete artificial bee colony based SPARQL query path optimization by reordering triples[J]. Journal of Computer Science and Technology 36, 445\u2013462 (2021)","journal-title":"Journal of Computer Science and Technology"},{"key":"4905_CR32","unstructured":"Wang, X., Qu, C., Wu, W., et al.: Are we ready for learned cardinality estimation?[J]. arXiv preprint arXiv:2012.06743, (2020)"},{"key":"4905_CR33","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.comcom.2020.05.020","volume":"159","author":"PKR Maddikunta","year":"2020","unstructured":"Maddikunta, P.K.R., Gadekallu, T.R., Kaluri, R., et al.: Green communication in IoT networks using a hybrid optimization algorithm[J]. Computer Communications 159, 97\u2013107 (2020)","journal-title":"Computer Communications"},{"key":"4905_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106642","volume":"212","author":"J Tu","year":"2021","unstructured":"Tu, J., Chen, H., Liu, J., et al.: Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance[J]. Knowledge-Based Systems 212, 106642 (2021)","journal-title":"Knowledge-Based Systems"},{"issue":"7","key":"4905_CR35","doi-asserted-by":"publisher","first-page":"4113","DOI":"10.1007\/s11831-023-09928-7","volume":"30","author":"MH Nadimi-Shahraki","year":"2023","unstructured":"Nadimi-Shahraki, M.H., Zamani, H., Asghari Varzaneh, Z., et al.: A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations[J]. Archives of Computational Methods in Engineering 30(7), 4113\u20134159 (2023)","journal-title":"Archives of Computational Methods in Engineering"},{"issue":"6","key":"4905_CR36","doi-asserted-by":"publisher","first-page":"6449","DOI":"10.1109\/TKDE.2022.3172687","volume":"35","author":"C Tang","year":"2022","unstructured":"Tang, C., Li, Z., Wang, J., et al.: Unified one-step multi-view spectral clustering[J]. IEEE Transactions on Knowledge and Data Engineering 35(6), 6449\u20136460 (2022)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"06","key":"4905_CR37","first-page":"90","volume":"28","author":"Y Tao","year":"2018","unstructured":"Tao, Y., Yang, F., Liu, Y., et al.: Research and optimization of K-means clustering algorithm[J]. Computer Technology and Development 28(06), 90\u201392 (2018)","journal-title":"Computer Technology and Development"},{"key":"4905_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105311","volume":"115","author":"E Kaya","year":"2022","unstructured":"Kaya, E., Gorkemli, B., Akay, B., et al.: A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems[J]. Engineering Applications of Artificial Intelligence 115, 105311 (2022)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"4905_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114817","volume":"175","author":"MS Kiran","year":"2021","unstructured":"Kiran, M.S.: A binary artificial bee colony algorithm and its performance assessment[J]. Expert Systems with Applications 175, 114817 (2021)","journal-title":"Expert Systems with Applications"},{"key":"4905_CR40","doi-asserted-by":"publisher","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., et al.: Improving artificial bee colony algorithm using a new neighborhood selection mechanism[J]. Information Sciences 527, 227\u2013240 (2020)","journal-title":"Information Sciences"},{"key":"4905_CR41","doi-asserted-by":"publisher","unstructured":"YAN, S.Q., YANG, P., ZHU, D.L, et al.: Improved sparrow search algorithm based on good point set[J]. Journal of Beijing University of Aeronautics and Astronautics, 49(10): 2790-2798 (in Chinese) (2023) https:\/\/doi.org\/10.13700\/j.bh.1001-5965.2021.0730","DOI":"10.13700\/j.bh.1001-5965.2021.0730"},{"key":"4905_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121219","volume":"236","author":"F Zhu","year":"2024","unstructured":"Zhu, F., Li, G., Tang, H., et al.: Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems[J]. Expert Systems with Applications 236, 121219 (2024)","journal-title":"Expert Systems with Applications"},{"key":"4905_CR43","doi-asserted-by":"crossref","unstructured":"Eiben, A.E., Smith, J.E., Eiben, A.E., et al.: What is an evolutionary algorithm?[J]. Introduction to evolutionary computing,: 25-48 (2015)","DOI":"10.1007\/978-3-662-44874-8_3"},{"issue":"3","key":"4905_CR44","first-page":"178","volume":"4","author":"T Bartz-Beielstein","year":"2014","unstructured":"Bartz-Beielstein, T., Branke, J., Mehnen, J., et al.: Evolutionary algorithms[J]. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4(3), 178\u2013195 (2014)","journal-title":"Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"},{"issue":"2","key":"4905_CR45","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., et al.: A fast and elitist multi objective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation 6(2), 182\u2013197 (2002)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"8","key":"4905_CR46","doi-asserted-by":"publisher","first-page":"1206","DOI":"10.14778\/3389133.3389138","volume":"13","author":"M Dreseler","year":"2020","unstructured":"Dreseler, M., Boissier, M., Rabl, T., et al.: Quantifying TPC-H choke points and their optimizations[J]. Proceedings of the VLDB Endowment 13(8), 1206\u20131220 (2020)","journal-title":"Proceedings of the VLDB Endowment"},{"key":"4905_CR47","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.future.2020.03.051","volume":"109","author":"N Yi","year":"2020","unstructured":"Yi, N., Xu, J., Yan, L., et al.: Task optimization and scheduling of distributed cyber-physical system based on improved ant colony algorithm[J]. Future Generation Computer Systems 109, 134\u2013148 (2020)","journal-title":"Future Generation Computer Systems"},{"issue":"2","key":"4905_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3609504","volume":"56","author":"C Barrios","year":"2023","unstructured":"Barrios, C., Kumar, M.: Service caching and computation reuse strategies at the edge: A survey[J]. ACM Computing Surveys 56(2), 1\u201338 (2023)","journal-title":"ACM Computing Surveys"},{"issue":"6","key":"4905_CR49","first-page":"167","volume":"48","author":"QIAN Wenyuan","year":"2022","unstructured":"Wenyuan, Q.I.A.N., Yinan, J.I.N.G., Xiaoyang, W.A.N.G., Zhenhuan, W.U.: Cardinality Estimation Method for Multitable JOIN Query Optimization[J]. Computer Engineering 48(6), 167\u2013173 (2022)","journal-title":"Computer Engineering"},{"key":"4905_CR50","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.asoc.2017.04.018","volume":"58","author":"SS Jadon","year":"2017","unstructured":"Jadon, S.S., Tiwari, R., Sharma, H., et al.: Hybrid artificial bee colony algorithm with differential evolution[J]. Applied Soft Computing 58, 11\u201324 (2017)","journal-title":"Applied Soft Computing"},{"issue":"2","key":"4905_CR51","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3604932","volume":"56","author":"M Besta","year":"2023","unstructured":"Besta, M., Gerstenberger, R., Peter, E., et al.: Demystifying graph databases: Analysis and taxonomy of data organization, system designs, and graph queries[J]. ACM Computing Surveys 56(2), 1\u201340 (2023)","journal-title":"ACM Computing Surveys"},{"key":"4905_CR52","doi-asserted-by":"crossref","unstructured":"Wang, F., Yao, D., Li, Y., et al.: AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing[J]. The Innovation, 4(2) (2023)","DOI":"10.1016\/j.xinn.2023.100405"},{"issue":"10","key":"4905_CR53","doi-asserted-by":"publisher","first-page":"3411","DOI":"10.1109\/TFUZZ.2023.3257036","volume":"31","author":"Y Sun","year":"2023","unstructured":"Sun, Y., Qiang, H., Wang, L., et al.: A fuzzy-logic-system-based cooperative control for the multielectromagnets suspension system of Maglev trains with experimental verification[J]. IEEE Transactions on Fuzzy Systems 31(10), 3411\u20133422 (2023)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"1","key":"4905_CR54","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., et al.: A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms[J]. Swarm and Evolutionary Computation 1(1), 3\u201318 (2011)","journal-title":"Swarm and Evolutionary Computation"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04905-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04905-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04905-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T15:27:48Z","timestamp":1757172468000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04905-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,28]]},"references-count":54,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["4905"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04905-6","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"type":"print","value":"1386-7857"},{"type":"electronic","value":"1573-7543"}],"subject":[],"published":{"date-parts":[[2025,4,28]]},"assertion":[{"value":"7 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 November 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there are no conficts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest:"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval:"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate:"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication:"}},{"value":"The code supporting the conclusions of this article will be made available by the authors on request.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Code availability:"}}],"article-number":"281"}}