{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T21:05:50Z","timestamp":1761599150115,"version":"3.40.5"},"reference-count":14,"publisher":"Wiley","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>We propose to couple the<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>R<\/mml:mi><mml:mn fontstyle=\"italic\">2<\/mml:mn><\/mml:math>performance measure and Particle Swarm Optimization in order to handle multi\/many-objective problems. Our proposal shows that through a well-designed interaction process we could maintain the metaheuristic almost inalterable and through the<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mi>R<\/mml:mi><mml:mn fontstyle=\"italic\">2<\/mml:mn><\/mml:math>performance measure we did not use neither an external archive nor Pareto dominance to guide the search. The proposed approach is validated using several test problems and performance measures commonly adopted in the specialized literature. Results indicate that the proposed algorithm produces results that are competitive with respect to those obtained by four well-known MOEAs. Additionally, we validate our proposal in many-objective optimization problems. In these problems, our approach showed its main strength, since it could outperform another well-known indicator-based MOEA.<\/jats:p>","DOI":"10.1155\/2016\/1898527","type":"journal-article","created":{"date-parts":[[2016,8,28]],"date-time":"2016-08-28T17:03:19Z","timestamp":1472403799000},"page":"1-10","source":"Crossref","is-referenced-by-count":11,"title":["<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mi>R<\/mml:mi><mml:mn fontstyle=\"italic\">2<\/mml:mn><\/mml:math>-Based Multi\/Many-Objective Particle Swarm Optimization"],"prefix":"10.1155","volume":"2016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2847-8316","authenticated-orcid":true,"given":"Alan","family":"D\u00edaz-Manr\u00edquez","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda y Ciencias, Universidad Aut\u00f3noma de Tamaulipas, 87000 Victoria, TAMPS, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregorio","family":"Toscano","sequence":"additional","affiliation":[{"name":"Cinvestav Tamaulipas, Km. 5.5 Carretera Ciudad Victoria-Soto La Marina, 87130 Victoria, TAMPS, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose Hugo","family":"Barron-Zambrano","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda y Ciencias, Universidad Aut\u00f3noma de Tamaulipas, 87000 Victoria, TAMPS, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edgar","family":"Tello-Leal","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda y Ciencias, Universidad Aut\u00f3noma de Tamaulipas, 87000 Victoria, TAMPS, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"13","series-title":"Natural Computing Series","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/978-3-540-72964-8_15","volume-title":"Fitness assignment methods for many-objective problems","year":"2008"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1007\/s10732-015-9301-6"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00009"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-15934-8_11"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30217-9_84"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.08.008"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1162\/evco.2007.15.1.1"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2011.2161872"},{"key":"1","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.swevo.2015.10.003","volume":"25","year":"2015","journal-title":"Swarm and Evolutionary Computation"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.09.005"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88908-3-14"},{"year":"2001","key":"18"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1007\/1-84628-137-7_6"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2016\/1898527.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2016\/1898527.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2016\/1898527.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T17:31:57Z","timestamp":1498325517000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cin\/2016\/1898527\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":14,"alternative-id":["1898527","1898527"],"URL":"https:\/\/doi.org\/10.1155\/2016\/1898527","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"type":"print","value":"1687-5265"},{"type":"electronic","value":"1687-5273"}],"subject":[],"published":{"date-parts":[[2016]]}}}