{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T23:10:06Z","timestamp":1750979406086,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":31,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811071782"},{"type":"electronic","value":"9789811071799"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-7179-9_19","type":"book-chapter","created":{"date-parts":[[2017,11,8]],"date-time":"2017-11-08T04:53:32Z","timestamp":1510116812000},"page":"248-262","source":"Crossref","is-referenced-by-count":0,"title":["Multi-objective Optimization for Ladle Tracking of Aluminium Tapping Based on NSGA-II"],"prefix":"10.1007","author":[{"given":"Kaibo","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yutao","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongting","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaofeng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sihai","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,11,9]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Asadollahi-Yazdi, E., Hassan, A., Siadat, A., et al.: Multi-objective optimization for inspection planning using NSGA-II. In: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, pp. 1422\u20131426 (2015)","DOI":"10.1109\/IEEM.2015.7385882"},{"issue":"1","key":"19_CR2","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.jss.2016.02.026","volume":"121","author":"TE Colanzi","year":"2016","unstructured":"Colanzi, T.E., Vergilio, S.R.: A feature-driven crossover operator for multi-objective and evolutionary optimization of product line architectures. J. Syst. Softw. 121(1), 126\u2013143 (2016)","journal-title":"J. Syst. Softw."},{"issue":"2","key":"19_CR3","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Aggarwal, S., et al.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"19_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/evco.1995.3.1.1","volume":"3","author":"C Fonseca","year":"1999","unstructured":"Fonseca, C., Fleming, P.: An overview of evolutionary algorithms in multiobjective optimization. Evol. Comput. 3(1), 1\u201316 (1999)","journal-title":"Evol. Comput."},{"issue":"3","key":"19_CR5","doi-asserted-by":"crossref","first-page":"197","DOI":"10.3724\/SP.J.1004.2013.00197","volume":"39","author":"WH Gui","year":"2013","unstructured":"Gui, W.H., Yang, C.H., Chen, X.F., et al.: Modeling and optimization problems and challenges arising in nonferrous metallurgical processes. Acta Autom. Sin. 39(3), 197\u2013207 (2013). (in Chinese)","journal-title":"Acta Autom. Sin."},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Guo, S.H., Zhou, K.B., Cao, B., Yang, C.H.: Combination weights and TOPSIS method for performance evaluation of aluminum electrolysis. In: 2015 Chinese Automation Congress (CAC), Wuhan, Hubei, China, pp. 1\u20136, 27\u201329 November 2015","DOI":"10.1109\/CAC.2015.7382459"},{"key":"19_CR7","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.asoc.2017.08.024","volume":"61","author":"C He","year":"2017","unstructured":"He, C., Tian, Y., Jin, Y.C., Zhang, X.Y., Pan, L.Q.: A radial space division based evolutionary algorithm for many-objective optimization. Appl. Soft. Comput. 61, 603\u2013621 (2017)","journal-title":"Appl. Soft. Comput."},{"issue":"12","key":"19_CR8","doi-asserted-by":"crossref","first-page":"2122","DOI":"10.1007\/s11431-015-5865-5","volume":"58","author":"RF Huang","year":"2015","unstructured":"Huang, R.F., Luo, X.W., Ji, B., et al.: Multi-objective optimization of a mixed-flow pump impeller using modified NSGA-II algorithm. Sci. China Technol. Sci. 58(12), 2122\u20132130 (2015). (in Chinese)","journal-title":"Sci. China Technol. Sci."},{"issue":"1","key":"19_CR9","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1016\/j.engstruct.2016.03.038","volume":"117","author":"A Karamlou","year":"2016","unstructured":"Karamlou, A., Bocchini, P.: Sequencing algorithm with multiple-input genetic operators: application to disaster resilience. Eng. Struct. 117(1), 591\u2013602 (2016)","journal-title":"Eng. Struct."},{"issue":"9","key":"19_CR10","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1016\/j.ress.2005.11.018","volume":"91","author":"A Konak","year":"2006","unstructured":"Konak, A., Coit, D.W., Smith, A.E.: Multi-objective optimization using genetic algorithms: a tutorial. Reliab. Eng. Syst. Saf. 91(9), 992\u20131007 (2006)","journal-title":"Reliab. Eng. Syst. Saf."},{"issue":"12","key":"19_CR11","first-page":"93","volume":"42","author":"HY Kuang","year":"2006","unstructured":"Kuang, H.Y., Jin, J., Su, Y.: Improving crossover and mutation for adaptive genetic algorithm. Comput. Eng. Appl. 42(12), 93\u201396 (2006). (in Chinese)","journal-title":"Comput. Eng. Appl."},{"issue":"5","key":"19_CR12","first-page":"933","volume":"29","author":"JH Li","year":"2014","unstructured":"Li, J.H., Wei, X., Rui, Z.Y., et al.: Blending and loading problem of molten aluminium and hybrid genetic algorithm optimization. Control Decis. 29(5), 933\u2013936 (2014). (in Chinese)","journal-title":"Control Decis."},{"key":"19_CR13","volume-title":"Production Technology and Management of Modern Aluminium Electrolysis","author":"XM Liang","year":"2011","unstructured":"Liang, X.M., Zhang, S.J.: Production Technology and Management of Modern Aluminium Electrolysis. Central South University Press, Changsha (2011). (in Chinese)"},{"issue":"27","key":"19_CR14","first-page":"72","volume":"7","author":"LX Ma","year":"2005","unstructured":"Ma, L.X., Wang, J.Q.: Application of genetic algorithms in solving the optimal combination problem. Comput. Eng. Sci. 7(27), 72\u201373 (2005). (in Chinese)","journal-title":"Comput. Eng. Sci."},{"issue":"2","key":"19_CR15","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.cie.2005.01.016","volume":"48","author":"C Moon","year":"2005","unstructured":"Moon, C., Seo, Y.: Evolutionary algorithm for advanced process planning and scheduling in a multi-plant. Comput. Ind. Eng. 48(2), 311\u2013325 (2005)","journal-title":"Comput. Ind. Eng."},{"issue":"3","key":"19_CR16","first-page":"1","volume":"24","author":"LQ Pan","year":"2017","unstructured":"Pan, L.Q., He, C., Tian, Y., Su, Y.S., Zhang, X.Y.: A region division based diversity maintaining approach for many-objective optimization. Integr. Comput. Aided Eng. 24(3), 1\u201318 (2017)","journal-title":"Integr. Comput. Aided Eng."},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Ripon, K.S.N., Glette, K., Hovin, M., et al.: A Multi-objective evolutionary algorithm for solving integrated scheduling and layout planning problems in manufacturing systems. In: 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, Madrid, Spain, pp. 157\u2013163, 17\u201318 May 2012","DOI":"10.1109\/EAIS.2012.6232822"},{"issue":"3","key":"19_CR18","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1994","unstructured":"Srinivas, N., Deb, K.: Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evol. Comput. 2(3), 221\u2013248 (1994)","journal-title":"Evol. Comput."},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"Vanucci, S.C., Carrano, E.G., Bicalho, R., et al.: A modified NSGA-II for the multi-objective multi-mode resource-constrained project scheduling problem. In: IEEE Congress on Evolutionary Computation, Brisbane, Australia, pp. 1\u20137, 10\u201315 June 2012","DOI":"10.1109\/CEC.2012.6256616"},{"issue":"7","key":"19_CR20","first-page":"38","volume":"42","author":"YM Xia","year":"2005","unstructured":"Xia, Y.M.: Calculation analysis and software development of primary aluminium casting optimized proportioning aluminium method. Light Metals 42(7), 38\u201341 (2005). (in Chinese)","journal-title":"Light Metals"},{"key":"19_CR21","volume-title":"Research on Several Key Problems About the Aluminium Production Resource Management System","author":"WH Xie","year":"2012","unstructured":"Xie, W.H.: Research on Several Key Problems About the Aluminium Production Resource Management System. Central South University Library, Changsha (2012). (in Chinese)"},{"issue":"2","key":"19_CR22","first-page":"222","volume":"26","author":"CH Yang","year":"2000","unstructured":"Yang, C.H., Shen, D.Y., Wu, M., et al.: Synthesis of qualitative and quantitative methods in a coal blending expert system for coke oven. Acta Autom. Sin. 26(2), 222\u2013232 (2000). (in Chinese)","journal-title":"Acta Autom. Sin."},{"issue":"8","key":"19_CR23","first-page":"2152","volume":"20","author":"CH Yang","year":"2008","unstructured":"Yang, C.H., Wang, X.L., Tao, J., et al.: Modeling and intelligent optimization algorithm for burden process of copper flash smelting. J. Syst. Simul. 20(8), 2152\u20132155 (2008). (in Chinese)","journal-title":"J. Syst. Simul."},{"issue":"10","key":"19_CR24","first-page":"1168","volume":"23","author":"CH Yang","year":"2008","unstructured":"Yang, C.H., Wen, L.M., Zhu, H.Q.: Satisfactory optimization of raw slurry arrangement for process of alumina production. Control Decis. 23(10), 1168\u20131172 (2008). (in Chinese)","journal-title":"Control Decis."},{"issue":"4","key":"19_CR25","doi-asserted-by":"crossref","first-page":"3978","DOI":"10.1016\/j.proeng.2011.08.745","volume":"15","author":"Y Yusoff","year":"2011","unstructured":"Yusoff, Y., Ngadiman, M.S., Zain, A.M.: Overview of NSGA-II for optimizing machining process parameters. Procedia Eng. 15(4), 3978\u20133983 (2011)","journal-title":"Procedia Eng."},{"issue":"7","key":"19_CR26","first-page":"1071","volume":"27","author":"H Zhang","year":"2012","unstructured":"Zhang, H., Zhu, Y.L., Chang, C.G.: Burdening optimization problem of high-precision copper strips based on NSGA-II algorithm. Control Decis. 27(7), 1071\u20131076 (2012). (in Chinese)","journal-title":"Control Decis."},{"key":"19_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, J.X., Wang, G.P.: Feed formula optimization method based on multi-objective particle swarm optimization algorithm. In: 2010 2nd International Workshop on Intelligent Systems and Applications, Wuhan, Hubei, China, pp. 1\u20133, 22\u201323 May 2010","DOI":"10.1109\/IWISA.2010.5473663"},{"issue":"7","key":"19_CR28","first-page":"38","volume":"42","author":"YL Zhang","year":"2005","unstructured":"Zhang, Y.L.: Research and development of arranging packing of aluminium electrolysis cells intelligently. North China Univ. Technol. Libr. 42(7), 38\u201341 (2005). Beijing. (in Chinese)","journal-title":"North China Univ. Technol. Libr."},{"issue":"8","key":"19_CR29","first-page":"61","volume":"34","author":"ZY Zhang","year":"2016","unstructured":"Zhang, Z.Y.: Multi-objective optimization of steelmaking continuous casting scheduling based on NSGA-II. Digit. Technol. Appl. 34(8), 61\u201362 (2016). (in Chinese)","journal-title":"Digit. Technol. Appl."},{"key":"19_CR30","doi-asserted-by":"crossref","unstructured":"Zhou, K., Lin, Z., Yu, D., et al.: Cell resistance slope combined with LVQ neural network for prediction of anode effect. In: Sixth International Conference on Intelligent Control and Information Processing (ICICIP), Wuhan, Hubei, China, pp. 47\u201351, 26\u201328 November 2015","DOI":"10.1109\/ICICIP.2015.7388142"},{"key":"19_CR31","doi-asserted-by":"crossref","unstructured":"Zhou, K., Yu, D., Lin, Z., et al.: Anode effect prediction of aluminium electrolysis using GRNN. In: Chinese Automation Congress (CAC), Wuhan, Hubei, China, pp. 853\u2013858, 27\u201329 November 2015","DOI":"10.1109\/CAC.2015.7382617"}],"container-title":["Communications in Computer and Information Science","Bio-inspired Computing: Theories and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-7179-9_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T22:34:36Z","timestamp":1750977276000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-7179-9_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811071782","9789811071799"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-7179-9_19","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}