{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:31:18Z","timestamp":1777703478006,"version":"3.51.4"},"reference-count":45,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2018,4,19]],"date-time":"2018-04-19T00:00:00Z","timestamp":1524096000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,4,19]]},"abstract":"<jats:p>\n                    An interactive preference-based evolutionary algorithm is proposed to solve multi-criteria satisfactory optimization problems. Using the proposed method, Decision Makers (DMs) can easily obtain the preferred parts of the actual Pareto front. Based on the satisfactory theory, the feasible region is constructed to evaluate the obtained candidates in terms of satisfactory degree. Furthermore, optimal weights are generated by minimizing the weighted \u2113\n                    <jats:sub>\n                      <jats:italic>p<\/jats:italic>\n                    <\/jats:sub>\n                    -norm of the conflicting satisfactory and unsatisfying candidates, to form the evaluation function by which the next generation would evolve towards the preferred optimization solutions. The layout optimization of a retrievable satellite module is used to verify the effectiveness of proposed method.\n                  <\/jats:p>","DOI":"10.3233\/jifs-17344","type":"journal-article","created":{"date-parts":[[2018,4,20]],"date-time":"2018-04-20T11:11:57Z","timestamp":1524222717000},"page":"2503-2511","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["An interactive preference-based evolutionary algorithm for multi-criteria satisficing optimization"],"prefix":"10.1177","volume":"34","author":[{"given":"Guo-Zhong","family":"Fu","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China"},{"name":"Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Yan-Feng","family":"Li","sequence":"additional","affiliation":[{"name":"Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Ye","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Dalian Fishery University, Dalian, China"}]},{"given":"Hong-Zhong","family":"Huang","sequence":"additional","affiliation":[{"name":"Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, China"}]}],"member":"179","published-online":{"date-parts":[[2018,4,19]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2012.09.015"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.11.014"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02984029"},{"key":"e_1_3_2_5_2","first-page":"403","volume-title":"Multi-objective optimization","author":"Deb K.","year":"2014","unstructured":"DebK., Multi-objective optimization (2014) Search Methodologies, Springer, 403\u2013449."},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2008.07.015"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.03.001"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-010-0513-y"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1177\/1063293X11420177"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-012-0511-7"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-013-0429-8"},{"key":"e_1_3_2_12_2","first-page":"1999","volume-title":"Nonlinear multiobjective optimization","author":"Miettinen K.","unstructured":"MiettinenK., Nonlinear multiobjective optimization 1999 Kluwer Publishers, Academic."},{"key":"e_1_3_2_13_2","first-page":"373","volume-title":"Quality Assessment of Pareto Set Approximations","author":"Zitzler E.","year":"2008","unstructured":"ZitzlerE., KnowlesJ. and ThieleL., Multiobjective Optimization: Interactive and Evolutionary Approaches, Quality Assessment of Pareto Set Approximations (2008), 373\u2013404 Springer Berlin Heidelberg."},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2240687"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-003-0368-6"},{"key":"e_1_3_2_16_2","first-page":"2008","volume-title":"Multiobjective Optimization: Interactive and Evolutionary Approaches","author":"Branke J.","unstructured":"BrankeJ., DebK., MiettinenK. and SlowinskiR., Multiobjective Optimization: Interactive and Evolutionary Approaches 2008\u2013Berlin Heidelberg Springer-Verlag."},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00291-001-0092-9"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00932634"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2012.2204264"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88908-3_2"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1162\/evco.2009.17.3.411"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.07.052"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2064323"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1070.0425"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.02.041"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00291-011-0266-z"},{"key":"e_1_3_2_27_2","first-page":"249","volume-title":"An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA","author":"Ruiz A.B.","year":"2015","unstructured":"RuizA.B., LuqueM., MiettinenK. and SaboridoR., An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA, Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO Guimar\u00e3es, Portugal, March 29 \u2013April 1, 2015. 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