{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T03:46:34Z","timestamp":1780544794843,"version":"3.54.1"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T00:00:00Z","timestamp":1713139200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T00:00:00Z","timestamp":1713139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural science foundation of China","doi-asserted-by":"crossref","award":["61973180"],"award-info":[{"award-number":["61973180"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Foundation of Yunnan Key Laboratory of Service Computing","award":["YNSC23116"],"award-info":[{"award-number":["YNSC23116"]}]},{"name":"Foundation of Yunnan Key Laboratory of Service Computing","award":["YNSC23116"],"award-info":[{"award-number":["YNSC23116"]}]},{"name":"Foundation of Yunnan Key Laboratory of Service Computing","award":["YNSC23116"],"award-info":[{"award-number":["YNSC23116"]}]},{"name":"Key Research Program of Shandong Province","award":["2023RKY01009"],"award-info":[{"award-number":["2023RKY01009"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Computing"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s00607-024-01286-x","type":"journal-article","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T18:02:01Z","timestamp":1713204121000},"page":"2261-2291","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A two-phase method to optimize service composition in cloud manufacturing"],"prefix":"10.1007","volume":"106","author":[{"given":"Qiang","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoquan","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanzhe","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lianen","family":"Qu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,15]]},"reference":[{"key":"1286_CR1","doi-asserted-by":"publisher","first-page":"108895","DOI":"10.1016\/j.cie.2022.108895","volume":"175","author":"Z Zhang","year":"2023","unstructured":"Zhang Z, Hu J, Xu X et al (2023) Functional importance evaluation approach for cloud manufacturing services based on complex network and evidential reasoning rule. Comput Ind Eng 175:108895","journal-title":"Comput Ind Eng"},{"key":"1286_CR2","unstructured":"www.cosmoplat.com"},{"key":"1286_CR3","unstructured":"www.thomasnet.com"},{"issue":"4","key":"1286_CR4","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1080\/00207543.2020.1852481","volume":"60","author":"B Yang","year":"2022","unstructured":"Yang B, Wang S, Li S et al (2022) A robust service composition and optimal selection method for cloud manufacturing. Int J Prod Res 60(4):1134\u20131152","journal-title":"Int J Prod Res"},{"key":"1286_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3233\/JIFS-212873","volume":"44","author":"Z Shi","year":"2023","unstructured":"Shi Z (2023) Cloud manufacturing service recommendation model based on GA-ACO and carbon emission hierarchy. J Intell Fuzzy Syst 44:1\u201311","journal-title":"J Intell Fuzzy Syst"},{"key":"1286_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11063-022-10793-x","volume":"54","author":"S Kannimuthu","year":"2022","unstructured":"Kannimuthu S, Chakravarthy DG (2022) Discovery of interesting itemsets for web service composition using hybrid genetic algorithm. Neural Process Lett 54:1\u201327","journal-title":"Neural Process Lett"},{"key":"1286_CR7","first-page":"1","volume":"35","author":"H Wang","year":"2022","unstructured":"Wang H, Ding Y, Xu H (2022) Particle swarm optimization service composition algorithm based on prior knowledge. J Intell Manuf 35:1\u201319","journal-title":"J Intell Manuf"},{"issue":"1","key":"1286_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJWSR.2019010101","volume":"16","author":"H Fekih","year":"2019","unstructured":"Fekih H, Mtibaa S, Bouamama S (2019) An efficient user-centric web service composition based on harmony particle swarm optimization. Int J Web Serv Res 16(1):1\u201321","journal-title":"Int J Web Serv Res"},{"key":"1286_CR9","doi-asserted-by":"publisher","first-page":"114413","DOI":"10.1016\/j.eswa.2020.114413","volume":"167","author":"F Seghir","year":"2021","unstructured":"Seghir F (2021) FDMOABC: fuzzy discrete multi-objective artificial bee colony approach for solving the non-deterministic Qos-driven web service composition problem. Expert Syst Appl 167:114413","journal-title":"Expert Syst Appl"},{"issue":"5","key":"1286_CR10","first-page":"11","volume":"11","author":"S Zhang","year":"2021","unstructured":"Zhang S, Shao Y, Zhou L (2021) Optimized artificial bee colony algorithm for web service composition problem. Int J Mach Learn Comput 11(5):11","journal-title":"Int J Mach Learn Comput"},{"key":"1286_CR11","doi-asserted-by":"publisher","first-page":"111290","DOI":"10.1016\/j.jss.2022.111290","volume":"118","author":"M Razian","year":"2022","unstructured":"Razian M, Fathian M, Bahsoon R et al (2022) Service composition in dynamic environments: a systematic review and future directions. J Syst Softw 118:111290","journal-title":"J Syst Softw"},{"key":"1286_CR12","first-page":"100211","volume":"23","author":"N Xie","year":"2021","unstructured":"Xie N, Tan W, Zheng X et al (2021) An efficient two-phase approach for reliable collaboration-aware service composition in cloud manufacturing. J Ind Inf Integr 23:100211","journal-title":"J Ind Inf Integr"},{"issue":"5","key":"1286_CR13","doi-asserted-by":"publisher","first-page":"5619","DOI":"10.1007\/s12652-020-02083-y","volume":"12","author":"P Thangaraj","year":"2021","unstructured":"Thangaraj P, Balasubramanie P (2021) Meta heuristic Qos based service composition for service computing. J Amb Intell Human Comput 12(5):5619\u20135625","journal-title":"J Amb Intell Human Comput"},{"key":"1286_CR14","doi-asserted-by":"publisher","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 et al (2021) Enhancing artificial bee colony algorithm with multielite guidance. Inf Sci 543:242\u2013258","journal-title":"Inf Sci"},{"key":"1286_CR15","doi-asserted-by":"publisher","first-page":"102143","DOI":"10.1016\/j.rcim.2021.102143","volume":"71","author":"Y Wang","year":"2021","unstructured":"Wang Y, Wang S, Kang L et al (2021) An effective dynamic service composition reconfiguration approach when service exceptions occur in reallife cloud manufacturing. Robot Comput Integr Manuf 71:102143","journal-title":"Robot Comput Integr Manuf"},{"issue":"16","key":"1286_CR16","doi-asserted-by":"publisher","first-page":"70","DOI":"10.3901\/JME.2018.16.070","volume":"54","author":"L Ren","year":"2018","unstructured":"Ren L, Ren ML et al (2018) Manufacturing service composition method based on weighted collaborative network. J Mechan Eng 54(16):70\u201378","journal-title":"J Mechan Eng"},{"issue":"10","key":"1286_CR17","doi-asserted-by":"publisher","first-page":"1580","DOI":"10.1587\/transinf.2020EDP7233","volume":"104","author":"H Yang","year":"2021","unstructured":"Yang H, Xue F, Liu D et al (2021) Global optimization algorithm for cloud service composition. IEICE Trans Inf Syst 104(10):1580\u20131591","journal-title":"IEICE Trans Inf Syst"},{"issue":"1","key":"1286_CR18","doi-asserted-by":"publisher","first-page":"82","DOI":"10.3390\/sym14010082","volume":"14","author":"H Tarawneh","year":"2022","unstructured":"Tarawneh H, Alhadid I, Khwaldeh S et al (2022) An intelligent cloud service composition optimization using spider monkey and multistage forward search algorithms. Symmetry 14(1):82","journal-title":"Symmetry"},{"key":"1286_CR19","doi-asserted-by":"publisher","first-page":"108053","DOI":"10.1016\/j.asoc.2021.108053","volume":"114","author":"H Jin","year":"2022","unstructured":"Jin H, Lv S, Yang Z et al (2022) Eagle strategy using uniform mutation and modified whale optimization algorithm for Qos-aware cloud service composition. Appl Soft Comput 114:108053","journal-title":"Appl Soft Comput"},{"key":"1286_CR20","doi-asserted-by":"crossref","unstructured":"Wu J, Tan W (2021) Method towards service composition optimization on cost-effective using mixed flower pollination algorithm. 2021 IEEE 24th international conference on computer supported coop-erative work in design (CSCWD). IEEE, pp 37\u201342","DOI":"10.1109\/CSCWD49262.2021.9437795"},{"key":"1286_CR21","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.ins.2022.11.056","volume":"619","author":"X Zhou","year":"2023","unstructured":"Zhou X, Song J, Wu S et al (2023) Artificial bee colony algorithm based on online fitness landscape analysis. Inf Sci 619:603\u2013629","journal-title":"Inf Sci"},{"issue":"1","key":"1286_CR22","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s11047-019-09753-7","volume":"20","author":"N Arunachalam","year":"2021","unstructured":"Arunachalam N, Amuthan A (2021) Integrated probability multi-search and solution acceptance rule-based artificial bee colony optimization scheme for web service composition. Nat Comput 20(1):23\u201338","journal-title":"Nat Comput"},{"key":"1286_CR23","doi-asserted-by":"publisher","first-page":"108306","DOI":"10.1016\/j.knosys.2022.108306","volume":"241","author":"T Ye","year":"2022","unstructured":"Ye T, Wang W, Wang H et al (2022) Island artificial bee colony for global based on random neighborhood structure. Know Based Syst 241:108306","journal-title":"Know Based Syst"},{"key":"1286_CR24","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.ins.2021.11.087","volume":"586","author":"Q Hu","year":"2022","unstructured":"Hu Q, Shen J, Wang K et al (2022) A Web service clustering method based on topic enhanced Gibbs sampling algorithm for the Dirichlet Multinomial Mixture model and service collaboration graph. Inf Sci 586:239\u2013260","journal-title":"Inf Sci"},{"issue":"3","key":"1286_CR25","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony algorithm. J Global Optim 39(3):459\u2013471","journal-title":"J Global Optim"},{"key":"1286_CR26","doi-asserted-by":"publisher","first-page":"3749","DOI":"10.1007\/s10462-020-09940-4","volume":"54","author":"M Masdari","year":"2021","unstructured":"Masdari M, Nozad Bonab M, Ozdemir S (2021) Qos-driven metaheuristic service composition schemes: a comprehensive overview. Artif Intell Rev 54:3749\u20133816","journal-title":"Artif Intell Rev"},{"key":"1286_CR27","doi-asserted-by":"publisher","first-page":"101840","DOI":"10.1016\/j.rcim.2019.101840","volume":"61","author":"M Yuan","year":"2020","unstructured":"Yuan M, Zhou Z, Cai X et al (2020) Service composition model and method in cloud manufacturing. Robot Comput Integr Manuf 61:101840","journal-title":"Robot Comput Integr Manuf"},{"issue":"6","key":"1286_CR28","doi-asserted-by":"publisher","first-page":"2487","DOI":"10.21275\/SR23626155823","volume":"12","author":"DB Gangadhara","year":"2023","unstructured":"Gangadhara DB (2023) Optimizing cloud-based manufacturing: a study on service and development models. Int J Sci Res (IJSR) 12(6):2487\u20132491","journal-title":"Int J Sci Res (IJSR)"},{"key":"1286_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00170-021-08436-x","volume":"119","author":"L Haghnegahdar","year":"2022","unstructured":"Haghnegahdar L, Joshi SS, Dahotre NB (2022) From IoT-based cloud manufacturing approach to intelligent additive manufacturing: industrial internet of things\u2014an overview. Int J Adv Manuf Technol 119:1\u201318","journal-title":"Int J Adv Manuf Technol"},{"key":"1286_CR30","doi-asserted-by":"publisher","first-page":"102472","DOI":"10.1016\/j.rcim.2022.102472","volume":"80","author":"J Zhou","year":"2023","unstructured":"Zhou J, Gao L, Lu C et al (2023) Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform. Robot Comput-Integr Manuf 80:102472","journal-title":"Robot Comput-Integr Manuf"},{"key":"1286_CR31","doi-asserted-by":"publisher","first-page":"101860","DOI":"10.1016\/j.aei.2022.101860","volume":"55","author":"C Chen","year":"2023","unstructured":"Chen C, Zhang S, Chu J et al (2023) Member combination selection for product collaborative design under the open innovation model. Adv Eng Inform 55:101860","journal-title":"Adv Eng Inform"},{"issue":"5","key":"1286_CR32","doi-asserted-by":"publisher","first-page":"4156","DOI":"10.3390\/su15054156","volume":"15","author":"Z He","year":"2023","unstructured":"He Z, Liu Q (2023) The crossover cooperation mode and mechanism of green innovation between manufacturing and internet enterprises in digital economy. Sustainability 15(5):4156","journal-title":"Sustainability"},{"key":"1286_CR33","unstructured":"Web Services Clustering via Exploring Unified Content and Structural Semantic Representation."},{"issue":"1","key":"1286_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13677-022-00291-9","volume":"11","author":"J Shen","year":"2022","unstructured":"Shen J, Huang W, Qiang Hu (2022) PICF-LDA: a topic enhanced LDA with probability incremental correction factor for Web API service clustering. J Cloud Comput 11(1):1\u201313","journal-title":"J Cloud Comput"},{"key":"1286_CR35","first-page":"100415","volume":"31","author":"H Zhu","year":"2023","unstructured":"Zhu H, Tan W, Yang M et al (2023) DSCPL: a deep cloud manufacturing service clustering method using pseudo-labels. J Ind Inf Integr 31:100415","journal-title":"J Ind Inf Integr"},{"key":"1286_CR36","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.apm.2020.06.039","volume":"88","author":"Z Ding","year":"2020","unstructured":"Ding Z, Li J, Lu ZR (2020) A modified artificial bee colony algorithm for structural damage identification under varying temperature based on a novel objective function. Appl Math Model 88:122\u2013141","journal-title":"Appl Math Model"},{"issue":"5","key":"1286_CR37","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1007\/s00521-020-05118-9","volume":"33","author":"AA Alrosan","year":"2021","unstructured":"Alrosan AA, WaleedNorwawi NA, MohammedMakhadmeh SN (2021) An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation. Neural Comput Appl 33(5):1671\u20131697","journal-title":"Neural Comput Appl"},{"issue":"3","key":"1286_CR38","first-page":"1548","volume":"19","author":"X Tan","year":"2020","unstructured":"Tan X, Shin SY (2020) Differential evolution algorithm of soft island model based on k-means clustering. Indones J Electr Eng Comput Sci 19(3):1548\u20131555","journal-title":"Indones J Electr Eng Comput Sci"},{"issue":"17","key":"1286_CR39","doi-asserted-by":"publisher","first-page":"13461","DOI":"10.1007\/s00500-020-04760-8","volume":"24","author":"MA Awadallah","year":"2020","unstructured":"Awadallah MA, Al-Betar MA, Bolaji AL et al (2020) Island artificial bee colony for global optimization. Soft Comput 24(17):13461\u201313487","journal-title":"Soft Comput"},{"key":"1286_CR40","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.jmsy.2021.05.012","volume":"60","author":"S Zhang","year":"2021","unstructured":"Zhang S, Xu Y, Zhang W (2021) Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm. J Manuf Syst 60:138\u2013151","journal-title":"J Manuf Syst"},{"issue":"4","key":"1286_CR41","doi-asserted-by":"publisher","first-page":"2742","DOI":"10.3934\/jimo.2022063","volume":"19","author":"H Song","year":"2023","unstructured":"Song H, Lu XN, Zhang X et al (2023) Collaborative optimization for energy saving and service composition in multi-granularity heavy-duty equipment cloud manufacturing environment. J Ind Manag Optimiz 19(4):2742\u20132771","journal-title":"J Ind Manag Optimiz"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01286-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-024-01286-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01286-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T07:06:54Z","timestamp":1719212814000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-024-01286-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,15]]},"references-count":41,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["1286"],"URL":"https:\/\/doi.org\/10.1007\/s00607-024-01286-x","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,15]]},"assertion":[{"value":"12 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2024","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 competing interests.","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":"Consent has been granted by all authors and there is no conflict.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}