{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:34:50Z","timestamp":1761896090143},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2015,5,19]],"date-time":"2015-05-19T00:00:00Z","timestamp":1431993600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2015,10]]},"DOI":"10.1007\/s10489-015-0658-x","type":"journal-article","created":{"date-parts":[[2015,5,18]],"date-time":"2015-05-18T04:22:46Z","timestamp":1431922966000},"page":"676-694","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Evolutionary algorithms with user\u2019s preferences for solving hybrid interval multi-objective optimization problems"],"prefix":"10.1007","volume":"43","author":[{"given":"Dunwei","family":"Gong","sequence":"first","affiliation":[]},{"given":"Yiping","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xinfang","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,5,19]]},"reference":[{"key":"658_CR1","doi-asserted-by":"crossref","unstructured":"Funes P, Bonabeau E, Herve J, Morieux Y (2004) Interactive multi-participant tour allocation. In: Proceedings of IEEE congress on evolutionary computation, pp 1699\u20131705","DOI":"10.1109\/CEC.2004.1331100"},{"key":"658_CR2","first-page":"352","volume":"22","author":"Y Zhou","year":"2007","unstructured":"Zhou Y, Gong DW, Zhang Y (2007) Evolutionary optimization methods for hybrid index optimization problem and application. Control Decis 22:352\u2013356. doi: 10.3321\/j.issn:1001-0920.2007.03.025","journal-title":"Control Decis"},{"key":"658_CR3","first-page":"455","volume":"30","author":"ZQ Cheng","year":"2004","unstructured":"Cheng ZQ, Dai LK, Sun YX (2004) Feasibility analysis for optimization of uncertain systems with interval parameters. Acta Autom Sin 30:455\u2013459","journal-title":"Acta Autom Sin"},{"key":"658_CR4","doi-asserted-by":"crossref","first-page":"4124","DOI":"10.1016\/j.ins.2011.05.011","volume":"181","author":"DW Gong","year":"2011","unstructured":"Gong DW, Qin NN, Sun XY (2011) Evolutionary algorithms for optimization problems with uncertainties and hybrid indices. Inf Sci 181:4124\u20134138. doi: 10.1016\/j.ins.2011.05.011","journal-title":"Inf Sci"},{"key":"658_CR5","doi-asserted-by":"crossref","first-page":"5252","DOI":"10.1007\/978-3-540-88908-3","volume-title":"Multiobjective optimization - interactive and evolutionary approaches. Lecture Notes in Computer Science","author":"J Branke","year":"2008","unstructured":"Branke J, Deb K, Miettinen K, Slowinski R (2008) Multiobjective optimization - interactive and evolutionary approaches. Lecture Notes in Computer Science. Springer, Heidelberg, p 5252"},{"key":"658_CR6","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182\u2013197. doi: 10.1109\/4235.996017","journal-title":"IEEE Trans Evol Comput"},{"key":"658_CR7","doi-asserted-by":"crossref","unstructured":"Kamalian R, Takagi H, Agogino MA (2004) Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation. In: Proceedings of genetic and evolutionary computation conference, pp 1030\u20131041","DOI":"10.1007\/978-3-540-24855-2_114"},{"key":"658_CR8","doi-asserted-by":"crossref","unstructured":"Brintrup AM, Ramsden J, Tiwari A (2005) Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation. In: Proceedings of IEEE congress on evolutionary computation, pp 2154\u20132160","DOI":"10.1109\/CEC.2005.1554961"},{"key":"658_CR9","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.compind.2006.06.004","volume":"58","author":"AM Brintrup","year":"2007","unstructured":"Brintrup AM, Ramsden J, Tiwari A (2007) An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization. Comput Ind 58:279\u2013291. doi: 10.1016\/j.compind.2006.06.004","journal-title":"Comput Ind"},{"key":"658_CR10","doi-asserted-by":"crossref","unstructured":"Limbourg P, Aponte DES (2005) An optimization algorithm for imprecise multi-objective problem functions. In: Proceedings of IEEE congress on evolutionary computation, pp 459\u2013466","DOI":"10.1109\/CEC.2005.1554719"},{"key":"658_CR11","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.compstruc.2012.12.028","volume":"119","author":"FY Li","year":"2013","unstructured":"Li FY, Luo Z, Rong JH, Zhang N (2013) Interval multi-objective optimisation of structures using adaptive Kriging approximations. Comput Struct 119:68\u201384. doi: 10.1016\/j.compstruc.2012.12.028","journal-title":"Comput Struct"},{"key":"658_CR12","unstructured":"Coello CAC (2000) Handling preferences in evolutionary multi-objective optimization: A survey. In: Proceeding of congress on evolutionary computation, pp 30\u201337"},{"key":"658_CR13","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1162\/106365600568176","volume":"8","author":"IC Parmee","year":"2000","unstructured":"Parmee IC, Cvetkovic\u0300 D, Watson AH, Bonham CR (2000) Multiobjective satisfaction within an interactive evolutionary design environment. Evol Comput 8:197\u2013222. doi: 10.1162\/106365600568176","journal-title":"Evol Comput"},{"key":"658_CR14","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1016\/j.asoc.2009.08.019","volume":"10","author":"S Chaudhuri","year":"2010","unstructured":"Chaudhuri S, Deb K (2010) An interactive evolutionary multi-objective optimization and decision making procedure. Appl Soft Comput 10:495\u2013511. doi: 10.1016\/j.asoc.2009.08.019","journal-title":"Appl Soft Comput"},{"key":"658_CR15","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1109\/TEVC.2010.2064323","volume":"14","author":"K Deb","year":"2010","unstructured":"Deb K, Sinha A, Korhonen PJ, Wallenius J (2010) An interactive evolutionary multi-objective optimization method based on progressively approximated value functions. IEEE Trans Evol Comput 14:723\u2013739. doi: 10.1109\/TEVC.2010.2064323","journal-title":"IEEE Trans Evol Comput"},{"key":"658_CR16","doi-asserted-by":"crossref","unstructured":"Sinha A, Korhonen P, Wallenius J, Deb K (2010) An interactive evolutionary multi-objective optimization method based on polyhedral cones. In: Proceedings of learning and intelligent optimization conference, pp 318\u2013332","DOI":"10.1007\/978-3-642-13800-3_33"},{"key":"658_CR17","doi-asserted-by":"crossref","unstructured":"Horn J, Nafpliotis N, Goldberg DE (1994) A niched Pareto genetic algorithm for multiobjective optimization. In: Proceedings of the 1st IEEE congress on evolutionary computation, pp 82\u201387","DOI":"10.1109\/ICEC.1994.350037"},{"key":"658_CR18","unstructured":"Deb K, Kumar A (2007) Light beam search based multiobjective optimization using evolutionary algorithms. In: Proceedings of IEEE Congress on Evolutionary Computation, pp 2125\u2013 2132"},{"key":"658_CR19","unstructured":"Greenwood GW, Hu X, D\u2019Ambrosio JG (1996) Fitness functions for multiple objective optimization problems: combining preferences with Pareto rankings. In: Proceedings of 4th workshop on foundations of genetic algorithms, pp 437C455"},{"key":"658_CR20","first-page":"231","volume-title":"Finding acceptable solutions in the Pareto-optimal range using multiobjective genetic algorithms. Soft computing in engineering design and manufacturing","author":"PJ Bentley","year":"1998","unstructured":"Bentley PJ, Wakefeild JP (1998) Finding acceptable solutions in the Pareto-optimal range using multiobjective genetic algorithms. Soft computing in engineering design and manufacturing. Springer, London, pp 231\u2013240"},{"key":"658_CR21","doi-asserted-by":"crossref","first-page":"3026","DOI":"10.1016\/j.ins.2009.05.001","volume":"179","author":"ZJ Wang","year":"2009","unstructured":"Wang ZJ, Li KW, Wang WZ (2009) An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights. Inf Sci 179:3026\u20133040. doi: 10.1016\/j.ins.2009.05.001","journal-title":"Inf Sci"},{"key":"658_CR22","doi-asserted-by":"crossref","unstructured":"Gong DW, Qin NN, Sun XY (2010) Evolutionary algorithms for multi-objective optimization problems with interval parameters. In: Proceedings of 5th IEEE international conference on bio-inspired computing: theories and applications, pp 411\u2013420","DOI":"10.1109\/BICTA.2010.5645160"},{"key":"658_CR23","unstructured":"Gong DW, Yuan J, Ma XP (2008) Interactive genetic algorithms with large population size. In: Proceedings of IEEE congress on evolutionary computation, pp 1678\u20131685"},{"key":"658_CR24","first-page":"769","volume":"27","author":"DW Gong","year":"2010","unstructured":"Gong DW, Qin NN, Sun XY (2010) Novel evolutionary optimization algorithm for problems with hybrid indices. Control Theory Appl 27:769\u2013774","journal-title":"Control Theory Appl"},{"key":"658_CR25","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1109\/TASSP.1985.1164581","volume":"33","author":"JG Wilpon","year":"1985","unstructured":"Wilpon JG, Rabiner L (1985) A modified K-means clustering algorithm for use in isolated work recognition. IEEE Transactions on Acoustics. Speech, and Signal Processing 33:587\u2013594. doi: 10.1109\/TASSP.1985.116458","journal-title":"Speech, and Signal Processing"},{"key":"658_CR26","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/0377-2217(90)90375-L","volume":"48","author":"H Ishibuchi","year":"1990","unstructured":"Ishibuchi H, Tanaka H (1990) Multiobjective programming in optimization of the interval objective function. Eur J Oper Res 48:219\u2013225. doi: 10.1016\/0377-2217(90)90375-L","journal-title":"Eur J Oper Res"},{"key":"658_CR27","first-page":"154","volume":"19","author":"GL Xu","year":"2008","unstructured":"Xu GL, Liu YJ (2008) A new ranking approach for interval numbers in uncertain multiple-attribute decision making problems. Stat Decis 19:154\u2013157","journal-title":"Stat Decis"},{"key":"658_CR28","unstructured":"Zitler E, Thiele L (1998) Multiobjective optimization using evolutionary algorithms - a comparative case study. In: Proceedings of 5th international conference on parallel problem solving from nature, pp 292\u2013301"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-015-0658-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-015-0658-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-015-0658-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,25]],"date-time":"2019-08-25T06:36:58Z","timestamp":1566715018000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-015-0658-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,19]]},"references-count":28,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2015,10]]}},"alternative-id":["658"],"URL":"https:\/\/doi.org\/10.1007\/s10489-015-0658-x","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5,19]]}}}