{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T15:59:23Z","timestamp":1649174363687},"reference-count":20,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","funder":[{"name":"Key Scientific Research Projects of Henan Province Colleges and Universities","award":["18A120012"],"award-info":[{"award-number":["18A120012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p> Interactive Evolutionary Computation (IEC) is a kind of human\u2013machine interaction calculation method derived from evolutionary computation. The main problem of interactive evolutionary computation is that fitness noise can make evolution direction to deviate from user\u2019s preferences because user\u2019s evaluation has cognitive fluctuations and fatigue. To improve these deficiencies, this paper recommends a fuzzy fitness prediction method based on fuzzy gray model FGM (1,1) with a precise number fitness. First of all, the relationship between fitness noise intensity and the fitness function is proposed. Then, it suggests a linear programming of fuzzy fitness set width under the restriction of minimum noise intensity, which can calculate the fuzzy fitness prediction parameters. Finally, the fuzzy gray model forecasts the fuzzy fitness. The proposed method uses new computation of individual\u2019s dominance relation and crowding distance to realize NSGA\u2013II. The experimental results verify that this method has advantages in improving optimization quality, alleviating user\u2019s fatigue and improving efficiency in exploration. <\/jats:p>","DOI":"10.1142\/s0218001421590011","type":"journal-article","created":{"date-parts":[[2020,7,26]],"date-time":"2020-07-26T15:59:35Z","timestamp":1595779175000},"page":"2159001","source":"Crossref","is-referenced-by-count":0,"title":["Evolutionary Computation with User\u2019s Preference for Solving Fuzzy Fitness Forecasting Problems"],"prefix":"10.1142","volume":"35","author":[{"given":"Guangsong","family":"Guo","sequence":"first","affiliation":[{"name":"School of Intelligent Engineering, Zhengzhou University of Aeronautics, Longzihu Road, Zhengzhou 450046, P.\u00a0R.\u00a0China"}]},{"given":"Liangji","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Tianjin Polytechnic University, 399 Binshuixi Road, Tianjin 300387, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2020,7,25]]},"reference":[{"issue":"6","key":"S0218001421590011BIB001","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"2","author":"Deb K.","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"S0218001421590011BIB002","first-page":"24","volume":"19","author":"Dou R.","year":"2016","journal-title":"J. Manage. Sci. China"},{"issue":"9","key":"S0218001421590011BIB003","first-page":"1559","volume":"33","author":"Guo G.","year":"2018","journal-title":"Control Decis."},{"key":"S0218001421590011BIB004","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40064-015-1659-2","volume":"5","author":"Hisao I.","year":"2016","journal-title":"Springer Plus"},{"issue":"12","key":"S0218001421590011BIB005","first-page":"1","volume":"33","author":"Li Z.","year":"2019","journal-title":"Int. J. Pattern Recogn. Artif. Intell."},{"issue":"22","key":"S0218001421590011BIB006","first-page":"1","volume":"7","author":"Liang R.","year":"2017","journal-title":"Appl. Sci."},{"key":"S0218001421590011BIB007","unstructured":"S. Liu,  Y. Dang,  Z. Fang et al.,  Grey System Theory and Its Application (Beijing Science Press,  2010), pp. 146\u2013153."},{"key":"S0218001421590011BIB008","first-page":"1","volume-title":"Int. Conf. Platform Technology and Service","author":"Makiwan D.","year":"2017"},{"key":"S0218001421590011BIB009","first-page":"12","volume":"17","author":"Manfre A.","year":"2016","journal-title":"Biol. Inspir. Cogn. Arch."},{"issue":"6","key":"S0218001421590011BIB010","first-page":"1252","volume":"51","author":"Mao Y.","year":"2017","journal-title":"J. Zhejiang Univ. (Eng. Sci.)"},{"key":"S0218001421590011BIB011","first-page":"211","volume-title":"the 48th Int. Symp. Stochastic Systems Theory and Its Applications","author":"Mekoto F.","year":"2016"},{"issue":"2","key":"S0218001421590011BIB012","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1162\/evco_a_00201","volume":"26","author":"Qian C.","year":"2018","journal-title":"Evol. Comput."},{"issue":"2","key":"S0218001421590011BIB013","first-page":"172","volume":"40","author":"Sun X.","year":"2014","journal-title":"Acta Autom. Sin."},{"issue":"7","key":"S0218001421590011BIB014","first-page":"1153","volume":"30","author":"Sun X.","year":"2015","journal-title":"Control Decis."},{"issue":"6","key":"S0218001421590011BIB015","first-page":"1","volume":"38","author":"Sun X.","year":"2017","journal-title":"J. Zhengzhou Univ. (Eng. Sci.)"},{"issue":"5","key":"S0218001421590011BIB016","first-page":"415","volume":"23","author":"Tsaur R.","year":"2006","journal-title":"J. Chin. Inst. Ind. Eng."},{"issue":"2","key":"S0218001421590011BIB017","first-page":"197","volume":"36","author":"Wang Z.","year":"2017","journal-title":"J. China Soc. Scient. Techn. Inform."},{"issue":"3","key":"S0218001421590011BIB018","first-page":"1","volume":"30","author":"Wang M.","year":"2015","journal-title":"J. Pattern Recogn. Artif. Intell."},{"issue":"1","key":"S0218001421590011BIB019","first-page":"227","volume":"47","author":"Wu L.","year":"2017","journal-title":"Math. Pract. Theory"},{"issue":"4","key":"S0218001421590011BIB020","first-page":"1","volume":"31","author":"Zhang G.","year":"2017","journal-title":"J. Pattern Recogn. Artif. Intell."}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001421590011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,29]],"date-time":"2021-01-29T11:17:13Z","timestamp":1611919033000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001421590011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,25]]},"references-count":20,"journal-issue":{"issue":"01","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1142\/S0218001421590011"],"URL":"https:\/\/doi.org\/10.1142\/s0218001421590011","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,25]]}}}