{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T20:49:41Z","timestamp":1770238181810,"version":"3.49.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T00:00:00Z","timestamp":1649721600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T00:00:00Z","timestamp":1649721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M662410"],"award-info":[{"award-number":["2019M662410"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["018AAA0101804"],"award-info":[{"award-number":["018AAA0101804"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Computing"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s00607-022-01079-0","type":"journal-article","created":{"date-parts":[[2022,4,11]],"date-time":"2022-04-11T23:02:22Z","timestamp":1649718142000},"page":"1977-2003","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A self-learning bee colony and genetic algorithm hybrid for cloud manufacturing services"],"prefix":"10.1007","volume":"104","author":[{"given":"Tianhua","family":"Li","sequence":"first","affiliation":[]},{"given":"Yongcheng","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jialin","family":"Hou","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4764-3938","authenticated-orcid":false,"given":"Kai","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,12]]},"reference":[{"key":"1079_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.13196\/j.cims.2010.01.3.libh.004","volume":"16","author":"BH Li","year":"2010","unstructured":"Li BH, Zhang L, Wang SL et al (2010) Cloud manufacturing: a new service-oriented networked manufacturing model. Comput Integr Manuf Syst 16:1\u201316. https:\/\/doi.org\/10.13196\/j.cims.2010.01.3.libh.004","journal-title":"Comput Integr Manuf Syst"},{"key":"1079_CR2","doi-asserted-by":"publisher","first-page":"1963","DOI":"10.13196\/j.cims.2015.08.001","volume":"21","author":"JJ Zhou","year":"2015","unstructured":"Zhou JJ, Yao XF (2015) Advanced manufacturing technology and new industrial revolution. Comput Integr Manuf Syst 21:1963\u20131978. https:\/\/doi.org\/10.13196\/j.cims.2015.08.001","journal-title":"Comput Integr Manuf Syst"},{"key":"1079_CR3","doi-asserted-by":"publisher","first-page":"044001","DOI":"10.1115\/1.4030009","volume":"137","author":"B Buckholtz","year":"2015","unstructured":"Buckholtz B, Ragai I, Wang LH (2015) Cloud manufacturing: current trends and future implementations. J Manuf Sci Eng Trans ASME 137:044001. https:\/\/doi.org\/10.1115\/1.4030009","journal-title":"J Manuf Sci Eng Trans ASME"},{"key":"1079_CR4","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1007\/s00170-013-5076-9","volume":"69","author":"YL Luo","year":"2013","unstructured":"Luo YL, Zhang L, Tao F et al (2013) A modeling and description method of multidimensional information for manufacturing capability in cloud manufacturing system. Int J Adv Manuf Technol 69:961\u2013975. https:\/\/doi.org\/10.1007\/s00170-013-5076-9","journal-title":"Int J Adv Manuf Technol"},{"key":"1079_CR5","doi-asserted-by":"publisher","first-page":"3515","DOI":"10.1007\/s00170-017-0008-8","volume":"91","author":"JJ Zhou","year":"2017","unstructured":"Zhou JJ, Yao XF (2017) Hybrid teaching-learning-based optimization of correlation-aware service composition in cloud manufacturing. Int J Adv Manuf Technol 91:3515\u20133533. https:\/\/doi.org\/10.1007\/s00170-017-0008-8","journal-title":"Int J Adv Manuf Technol"},{"key":"1079_CR6","doi-asserted-by":"publisher","first-page":"113917","DOI":"10.1016\/j.eswa.2020.113917","volume":"166","author":"MH Nadimi-Shahraki","year":"2020","unstructured":"Nadimi-Shahraki MH, Taghian S, Mirjalili S (2020) An improved grey wolf optimizer for solving engineering problems. Expert Syst Appl 166:113917. https:\/\/doi.org\/10.1016\/j.eswa.2020.113917","journal-title":"Expert Syst Appl"},{"key":"1079_CR7","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.cie.2017.06.016","volume":"110","author":"ST Al-Shihabi","year":"2017","unstructured":"Al-Shihabi ST, AlDurgam MM (2017) A max-min ant system for the finance-based scheduling problem. Comput Ind Eng 110:264\u2013276. https:\/\/doi.org\/10.1016\/j.cie.2017.06.016","journal-title":"Comput Ind Eng"},{"key":"1079_CR8","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.apm.2021.01.017","volume":"94","author":"AA Ewees","year":"2021","unstructured":"Ewees AA, Al-qaness MAA, Abd Elaziz M (2021) Enhanced SALP swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times. Appl Math Model 94:285\u2013305. https:\/\/doi.org\/10.1016\/j.apm.2021.01.017","journal-title":"Appl Math Model"},{"key":"1079_CR9","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.measurement.2015.07.022","volume":"74","author":"I Aydin","year":"2015","unstructured":"Aydin I (2015) A new approach based on firefly algorithm for vision-based railway overhead inspection system. Measurement 74:43\u201355. https:\/\/doi.org\/10.1016\/j.measurement.2015.07.022","journal-title":"Measurement"},{"key":"1079_CR10","doi-asserted-by":"publisher","first-page":"11671179","DOI":"10.1007\/s00170-011-3230-9","volume":"56","author":"ZJ Wang","year":"2011","unstructured":"Wang ZJ, Liu ZZ, Zhou XF et al (2011) An approach for composite web service selection based on DGQoS. Int J Adv Manuf Technol 56:11671179. https:\/\/doi.org\/10.1007\/s00170-011-3230-9","journal-title":"Int J Adv Manuf Technol"},{"key":"1079_CR11","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/s00170-015-7222-z","volume":"81","author":"Y Cao","year":"2015","unstructured":"Cao Y, Wang SL, Kang L et al (2015) Study on machining service modes and resource selection strategies in cloud manufacturing. Int J Adv Manuf Technol 81:597\u2013613. https:\/\/doi.org\/10.1007\/s00170-015-7222-z","journal-title":"Int J Adv Manuf Technol"},{"key":"1079_CR12","doi-asserted-by":"publisher","first-page":"817","DOI":"10.1007\/s00170-010-2648-9","volume":"51","author":"H Guo","year":"2010","unstructured":"Guo H, Tao F, Zhang L et al (2010) Correlation-aware web services composition and QoS computation model in virtual enterprise. Int J Adv Manuf Technol 51:817\u2013827. https:\/\/doi.org\/10.1007\/s00170-010-2648-9","journal-title":"Int J Adv Manuf Technol"},{"key":"1079_CR13","doi-asserted-by":"publisher","first-page":"5278","DOI":"10.1080\/00207543.2018.1467575","volume":"56","author":"T Meng","year":"2018","unstructured":"Meng T, Pan QK, Sang HY (2018) A hybrid artificial bee colony algorithm for a flexible job shop scheduling problem with overlapping in operations. Int J Prod Res 56:5278\u20135292. https:\/\/doi.org\/10.1080\/00207543.2018.1467575","journal-title":"Int J Prod Res"},{"key":"1079_CR14","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.ins.2020.08.040","volume":"547","author":"G D\u2019Angelo","year":"2021","unstructured":"D\u2019Angelo G, Palmieri F (2021) GGA: a modified genetic algorithm with gradient-based local search for solving constrained optimization problems. Inf Sci 547:136\u2013162. https:\/\/doi.org\/10.1016\/j.ins.2020.08.040","journal-title":"Inf Sci"},{"key":"1079_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-021-00936-8","author":"G Kaur","year":"2021","unstructured":"Kaur G, Bala A (2021) Prediction based task scheduling approach for floodplain application in cloud environment. Computing. https:\/\/doi.org\/10.1007\/s00607-021-00936-8","journal-title":"Computing"},{"key":"1079_CR16","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3901\/JME.2016.17.010","volume":"62","author":"Y Li","year":"2016","unstructured":"Li Y, Yao X, Zhou J (2016) Multi-objective optimization of cloud manufacturing service composition with cloud-entropy enhanced genetic algorithm. Strojniski Vestnik J Mech Eng 62:10","journal-title":"Strojniski Vestnik J Mech Eng"},{"key":"1079_CR17","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1080\/17517575.2013.792396","volume":"8","author":"B Huang","year":"2014","unstructured":"Huang B, Li C, Tao F (2014) A chaos control optimal algorithm for QoS-based service composition selection in cloud manufacturing system. Enterprise Inf Syst 8:445\u2013463","journal-title":"Enterprise Inf Syst"},{"key":"1079_CR18","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s00170-015-7350-5","volume":"82","author":"Y Cao","year":"2016","unstructured":"Cao Y, Wang SL, Kang L et al (2016) A TQCS-based service selection and scheduling strategy in cloud manufacturing. Int J Adv Manuf Technol 82:235\u2013251","journal-title":"Int J Adv Manuf Technol"},{"key":"1079_CR19","doi-asserted-by":"publisher","first-page":"4380","DOI":"10.1080\/00207543.2015.1005765","volume":"53","author":"J Lartigau","year":"2015","unstructured":"Lartigau J, Xu X, Nie L et al (2015) Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved artificial bee colony optimisation algorithm. Int J Prod Res 53:4380\u20134404","journal-title":"Int J Prod Res"},{"key":"1079_CR20","doi-asserted-by":"crossref","unstructured":"Wan CC, Zheng HL, Guo L et al (2022) Hierarchical scheduling for multi-composite tasks in cloud manufacturing. Int J Prod Res","DOI":"10.1080\/00207543.2022.2025554"},{"key":"1079_CR21","doi-asserted-by":"publisher","first-page":"108053","DOI":"10.1016\/j.asoc.2021.108053","volume":"144","author":"H Jin","year":"2022","unstructured":"Jin H, Lv SP, Yang Z et al (2022) Eagle strategy using uniform mutation and modified whale optimization algorithm for QoS-aware cloud service composition. Appl Soft Comput 144:108053","journal-title":"Appl Soft Comput"},{"key":"1079_CR22","doi-asserted-by":"publisher","first-page":"107607","DOI":"10.1016\/j.knosys.2021.107607","volume":"234","author":"YK Wang","year":"2021","unstructured":"Wang YK, Wang SL, Gao S et al (2021) Adaptive multi-objective service composition reconfiguration approach considering dynamic practical constraints in cloud manufacturing. Knowl Based Syst 234:107607","journal-title":"Knowl Based Syst"},{"key":"1079_CR23","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.cie.2017.05.026","volume":"110","author":"J Shahrabi","year":"2017","unstructured":"Shahrabi J, Adibi MA, Mahootchi M (2017) A reinforcement learning approach to parameter estimation in dynamic job shop scheduling. Comput Ind Eng 110:75\u201382. https:\/\/doi.org\/10.1016\/j.cie.2017.05.026","journal-title":"Comput Ind Eng"},{"key":"1079_CR24","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s00170-018-03215-7","volume":"102","author":"YF Yang","year":"2019","unstructured":"Yang YF, Yang B, Wang SL et al (2019) A dynamic ant-colony genetic algorithm for cloud service composition optimization. Int J Adv Manuf Technol 102:355\u2013368. https:\/\/doi.org\/10.1007\/s00170-018-03215-7","journal-title":"Int J Adv Manuf Technol"},{"key":"1079_CR25","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1109\/TNNLS.2016.2634548","volume":"29","author":"E Emary","year":"2018","unstructured":"Emary E, Zawbaa HM, Grosan C (2018) Experienced gray wolf optimization through reinforcement learning and neural networks. IEEE Trans Neural Netw Learn Syst 29:681\u2013694. https:\/\/doi.org\/10.1109\/TNNLS.2016.2634548","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1079_CR26","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s10489-017-0927-y","volume":"47","author":"J Zhou","year":"2017","unstructured":"Zhou J, Yao X (2017) Multi-objective hybrid artificial bee colony algorithm enhanced with L\u00e9vy flight and self-adaption for cloud manufacturing service composition. Appl Intell 47:721\u2013742","journal-title":"Appl Intell"},{"key":"1079_CR27","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1108\/IJWIS-12-2015-0040","volume":"12","author":"S Garg","year":"2016","unstructured":"Garg S, Modi K, Chaudhary S (2016) A QoS-aware approach for runtime discovery, selection and composition of semantic web services. Int J Web Inf Syst 12:177\u2013200. https:\/\/doi.org\/10.1108\/IJWIS-12-2015-0040","journal-title":"Int J Web Inf Syst"},{"key":"1079_CR28","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1109\/TSMC.2015.2503384","volume":"46","author":"QW Wu","year":"2016","unstructured":"Wu QW, Ishikawa F, Zhu QS et al (2016) QoS-aware multigranularity service composition: modeling and optimization. IEEE Trans Syst Man Cybern Syst 46:1565\u20131577. https:\/\/doi.org\/10.1109\/TSMC.2015.2503384","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"1079_CR29","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1109\/TSE.2004.11","volume":"30","author":"LZ Zeng","year":"2004","unstructured":"Zeng LZ, Benatallah B, Ngu AHH et al (2004) QoS aware middleware for Web services composition. IEEE Trans Softw Eng 30:311\u2013327. https:\/\/doi.org\/10.1109\/TSE.2004.11","journal-title":"IEEE Trans Softw Eng"},{"key":"1079_CR30","doi-asserted-by":"publisher","first-page":"133","DOI":"10.16652\/j.issn.1004-373x.2020.12.032","volume":"43","author":"YL Cao","year":"2020","unstructured":"Cao YL, Yu MZ, Yang JF et al (2020) Research on an improved artificial bee colony algorithm. Mod Electron Technol 43:133\u2013137. https:\/\/doi.org\/10.16652\/j.issn.1004-373x.2020.12.032","journal-title":"Mod Electron Technol"},{"key":"1079_CR31","doi-asserted-by":"publisher","first-page":"3563","DOI":"10.1016\/j.eswa.2010.08.145","volume":"38","author":"GH Zhang","year":"2011","unstructured":"Zhang GH, Gao L, Shi Y (2011) An effective genetic algorithm for the flexible job-shop scheduling problem. Expert Syst Appl 38:3563\u20133573. https:\/\/doi.org\/10.1016\/j.eswa.2010.08.145","journal-title":"Expert Syst Appl"},{"key":"1079_CR32","doi-asserted-by":"publisher","first-page":"2333","DOI":"10.1007\/s00521-015-2070-1","volume":"27","author":"YZ Hsieh","year":"2015","unstructured":"Hsieh YZ, Su MC (2015) A Q-learning-based swarm optimization algorithm for economic dispatch problem. Neural Comput Appl 27:2333\u20132350. https:\/\/doi.org\/10.1007\/s00521-015-2070-1","journal-title":"Neural Comput Appl"},{"key":"1079_CR33","doi-asserted-by":"publisher","first-page":"2184","DOI":"10.1016\/j.engappai.2013.06.016","volume":"26","author":"YH Wang","year":"2013","unstructured":"Wang YH, Li THS, Lin CJ (2013) Backward Q-learning: the combination of Sarsa algorithm and Q-learning. Eng Appl Artif Intell 26:2184\u20132193. https:\/\/doi.org\/10.1016\/j.engappai.2013.06.016","journal-title":"Eng Appl Artif Intell"},{"issue":"1993","key":"1079_CR34","doi-asserted-by":"publisher","first-page":"106778","DOI":"10.1016\/j.cie.2020.106778","volume":"149","author":"RH Chen","year":"2020","unstructured":"Chen RH, Yang B, Li S et al (2020) A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem. Comput Ind Eng 149(1993):106778. https:\/\/doi.org\/10.1016\/j.cie.2020.106778","journal-title":"Comput Ind Eng"},{"key":"1079_CR35","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.knosys.2019.05.020","volume":"180","author":"HB Wang","year":"2019","unstructured":"Wang HB, Gu MZ, Yu Q et al (2019) Adaptive and large-scale service composition based on deep reinforcement learning. Knowl Based Syst 180:75\u201390. https:\/\/doi.org\/10.1016\/j.knosys.2019.05.020","journal-title":"Knowl Based Syst"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01079-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-022-01079-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01079-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T16:05:20Z","timestamp":1661184320000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-022-01079-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,12]]},"references-count":35,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["1079"],"URL":"https:\/\/doi.org\/10.1007\/s00607-022-01079-0","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,12]]},"assertion":[{"value":"8 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2022","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":"The author transfers to Springer the non-exclusive publication rights.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}