{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:17:48Z","timestamp":1753881468074,"version":"3.41.2"},"reference-count":49,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T00:00:00Z","timestamp":1623283200000},"content-version":"vor","delay-in-days":160,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61833011","61633016","92067105"],"award-info":[{"award-number":["61833011","61633016","92067105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["16010500300","19510750300","19500712300"],"award-info":[{"award-number":["16010500300","19510750300","19500712300"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>In recent years, the combustion furnace has been widely applied in many different fields of industrial technology, and the accurate detection of combustion states can effectively help operators adjust combustion strategies to improve combustion utilization and ensure safe operation. However, the combustion states inside the industrial furnace change according to the production needs, which further challenges the optimal set of model parameters. To effectively segment the flame pixels, a novel segmentation method for furnace flame using adaptive color model and hybrid\u2010coded human learning optimization (AHcHLO) is proposed. A new adaptive color model with mixed variables (NACMM) is designed for adapting to different combustion states, and the AHcHLO is developed to search for the optimal parameters of NACMM. Then, the best NACMM with optimal parameters is adopted to segment the combustion flame image more precisely and effectively. Finally, the experiment results show that the developed AHcHLO obtains the best\u2010known overall results so far on benchmark functions and the proposed NACMM outperforms state\u2010of\u2010the\u2010art flame segmentation approaches, providing a high detection accuracy and a low false detection rate.<\/jats:p>","DOI":"10.1155\/2021\/3027126","type":"journal-article","created":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T16:40:28Z","timestamp":1623343228000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Segmentation Method for Furnace Flame Using Adaptive Color Model and Hybrid\u2010Coded HLO"],"prefix":"10.1155","volume":"2021","author":[{"given":"Pinggai","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7804-077X","authenticated-orcid":false,"given":"Minrui","family":"Fei","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4918-4608","authenticated-orcid":false,"given":"Ling","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xian","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Chen","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,6,10]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2019.01.023"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.joei.2019.07.008"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/7408725"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3580628"},{"key":"e_1_2_9_5_2","first-page":"235","article-title":"Using an advanced numerical technique for improving pulverized coal combustion inside an industrial furnace","volume":"61","author":"Mikulcic H.","year":"2017","journal-title":"Chemical Engineering Transactions"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/8682725"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuproc.2018.07.008"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1002\/cplx.21390"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2013.07.003"},{"key":"e_1_2_9_10_2","article-title":"Temperature measurement method of flame images based on BP neural network","volume":"2","author":"Wang T.","year":"2005","journal-title":"China Measurement Technology"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2006.12.003"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2017.2757100"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2368-8"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1177\/1748302619887689"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.3390\/en12132585"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1360\/n112017-00300"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.019"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1134\/s1054661817010138"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1080\/00102202.2016.1250749"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1102-y"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.09.021"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.09.043"},{"key":"e_1_2_9_23_2","doi-asserted-by":"crossref","unstructured":"BanimelhemO. MowafiM. andAlzoubiO. Multilevel thresholding image segmentation using memetic algorithm Proceedings of the 2015 6th International Conference on Information and Communication Systems (ICICS) 2015 Amman Jordan 119\u2013123.","DOI":"10.1109\/IACS.2015.7103213"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-019-01419-2"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijsbe.2013.05.001"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105570"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.04.015"},{"key":"e_1_2_9_28_2","first-page":"56","volume-title":"Communications in Computer and Information Science","author":"Wang L.","year":"2014"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.06.004"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.07.051"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40565-016-0227-2"},{"key":"e_1_2_9_32_2","doi-asserted-by":"crossref","unstructured":"AlguliyevR. AliguliyevR. andIsazadeN. A sentence selection model and HLO algorithm for extractive text summarization Proceedings of the 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT) 2016 Baku Azerbaijan 1\u20134.","DOI":"10.1109\/ICAICT.2016.7991686"},{"key":"e_1_2_9_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-95786-9_8"},{"key":"e_1_2_9_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-017-0536-7"},{"key":"e_1_2_9_35_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2384-3_29"},{"key":"e_1_2_9_36_2","doi-asserted-by":"crossref","unstructured":"BlierL. WolinskiP. andOllivierY. Learning with random learning rates Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2019 W\u00fcrzburg Germany 449\u2013464.","DOI":"10.1007\/978-3-030-46147-8_27"},{"key":"e_1_2_9_37_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tree.2015.12.012"},{"key":"e_1_2_9_38_2","doi-asserted-by":"publisher","DOI":"10.1111\/spc3.12384"},{"key":"e_1_2_9_39_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1219756110"},{"key":"e_1_2_9_40_2","doi-asserted-by":"publisher","DOI":"10.1037\/0022-0663.80.3.284"},{"key":"e_1_2_9_41_2","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.66.046706"},{"key":"e_1_2_9_42_2","doi-asserted-by":"publisher","DOI":"10.1177\/0170840604048001"},{"key":"e_1_2_9_43_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.05.022"},{"key":"e_1_2_9_44_2","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2010.2040873"},{"key":"e_1_2_9_45_2","doi-asserted-by":"publisher","DOI":"10.1021\/acs.energyfuels.6b02203"},{"key":"e_1_2_9_46_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-0761-4_109"},{"key":"e_1_2_9_47_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.01.027"},{"key":"e_1_2_9_48_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.12.004"},{"key":"e_1_2_9_49_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-016-0444-2"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/3027126.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/3027126.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/3027126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T22:18:32Z","timestamp":1723241912000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/3027126"}},"subtitle":[],"editor":[{"given":"Sergio","family":"G\u00f3mez","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":49,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/3027126"],"URL":"https:\/\/doi.org\/10.1155\/2021\/3027126","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"type":"print","value":"1076-2787"},{"type":"electronic","value":"1099-0526"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2020-07-17","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-31","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3027126"}}