{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T03:44:22Z","timestamp":1777952662412,"version":"3.51.4"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2014,8,10]],"date-time":"2014-08-10T00:00:00Z","timestamp":1407628800000},"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":["Soft Comput"],"published-print":{"date-parts":[[2015,8]]},"DOI":"10.1007\/s00500-014-1409-3","type":"journal-article","created":{"date-parts":[[2014,8,9]],"date-time":"2014-08-09T05:51:24Z","timestamp":1407563484000},"page":"2275-2286","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An evaluation of non-redundant objective sets based on the spatial similarity ratio"],"prefix":"10.1007","volume":"19","author":[{"given":"Juan","family":"Zou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinhua","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruimin","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,8,10]]},"reference":[{"key":"1409_CR1","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1007\/978-3-540-69995-8_68","volume":"2006","author":"D Brockhoff","year":"2007","unstructured":"Brockhoff D, Zitzler E (2007) Dimensionality reduction in multiobjective optimization: the minimum objective subset problem. Oper Res Proc 2006:423\u2013429","journal-title":"Oper Res Proc"},{"issue":"2","key":"1409_CR2","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1162\/evco.2009.17.2.135","volume":"17","author":"D Brockhoff","year":"2009","unstructured":"Brockhoff D, Zitzler E (2009) Objective reduction in evolutionary multiobjective optimization: theory and applications. Evol Comput 17(2):135\u2013166","journal-title":"Evol Comput"},{"key":"1409_CR3","doi-asserted-by":"crossref","unstructured":"Brockhoff D, Zitzler E (2006) Are all objectives necessary? On dimensionality reduction in evolutionary multiobjective pptimization. In: 9th international conference on parallel problem solving from nature-PPSN IX, Reykjavik, Iceland, pp 533\u2013542","DOI":"10.1007\/11844297_54"},{"key":"1409_CR4","volume-title":"Evolutionary Algorithms for Solving Multi-Objective Problems","author":"CAC Coello","year":"2007","unstructured":"Coello CAC, Lamont GB, Veldhuizen DAV (2007) Evolutionary Algorithms for Solving Multi-Objective Problems. Springer, New York"},{"key":"1409_CR5","doi-asserted-by":"crossref","unstructured":"Deb K (2013) Two approaches for single and multi-objective dynamic optimization. Metaheuristics Dyn Optim 433:99\u2013116","DOI":"10.1007\/978-3-642-30665-5_6"},{"issue":"2","key":"1409_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(2):182\u2013197","journal-title":"IEEE Trans Evol Comput"},{"key":"1409_CR7","first-page":"1","volume":"200511","author":"K Deb","year":"2005","unstructured":"Deb K, Saxena DK (2005) On finding pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems. Kangal Rep 200511:1\u201319","journal-title":"Kangal Rep"},{"key":"1409_CR8","unstructured":"Deb K, Saxena DK (2006) Searching for Pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems. In: 2006 IEEE congress on evolutionary computation, Vancouver, Canada, pp 3353\u20133360"},{"key":"1409_CR9","unstructured":"di Pierro F (2006) Many-objective evolutionary algorithms and applications to water resources engineering. Dissertation for the Doctoral Degree, University of Exeter, Devon, UK"},{"key":"1409_CR10","unstructured":"Jaimes AL (2011) Techniques to deal with many-objective optimization problems using evolutionary algorithms. Center for Research and Advanced Studies of the National Polytechnic Institute"},{"issue":"3","key":"1409_CR11","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1162\/106365602760234108","volume":"10","author":"M Laumanns","year":"2002","unstructured":"Laumanns M, Thiele L, Deb K, Zitzler E (2002) Combining convergence and diversity in evolutionary multiobjective optimization. Evol Comput 10(3):263\u2013282","journal-title":"Evol Comput"},{"key":"1409_CR12","unstructured":"Liu H, Motoda H, Setiono R, Zhao Z (2010) Feature selection: an ever evolving frontier in data mining. In: 4th workshop on feature selection in Data Mining. Hyderabad, India, pp 4\u201313"},{"key":"1409_CR13","doi-asserted-by":"crossref","unstructured":"L\u00f3pez Jaimes A, Coello Coello CA, Chakraborty D (2008) Objective reduction using a feature selection technique. In: 10th annual conference on genetic and evolutionary computation, Atlanta, GA, USA, pp 673\u2013680","DOI":"10.1145\/1389095.1389228"},{"key":"1409_CR14","unstructured":"Saxena DK, Deb K (2008) Dimensionality reduction of objectives and constraints in multi-objective optimization problems: a system design perspective\u2019. In: 2008 IEEE congress on evolutionary computation, Hong Kong, China, pp 3204\u20133211"},{"key":"1409_CR15","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1007\/978-3-540-70928-2_58","volume":"4403","author":"DK Saxena","year":"2007","unstructured":"Saxena DK, Deb K (2007) Non-linear dimensionality reduction procedures for certain large-dimensional multi-objective optimization problems: employing correntropy and a novel maximum variance unfolding. Evol Multi-Criterion Optim 4403:772\u2013787","journal-title":"Evol Multi-Criterion Optim"},{"key":"1409_CR16","unstructured":"Seah C-W, Ong Y-S, Tsang I-W, Jiang S (2012) Pareto rank learning in multi-objective evolutionary algorithms. In: 2012 IEEE congress on evolutionary computation, Brisbane, Australia, pp 1\u20138"},{"issue":"1","key":"1409_CR17","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1504\/IJCAT.2012.045842","volume":"43","author":"Y Yuan","year":"2012","unstructured":"Yuan Y, Yuan J, Du H, Li L (2012) An improved multi-objective ant colony algorithm for building life cycle energy consumption optimisation. Int J Comput Appl Technol 43(1):60\u201366","journal-title":"Int J Comput Appl Technol"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1409-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-014-1409-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1409-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T18:52:52Z","timestamp":1565722372000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-014-1409-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,10]]},"references-count":17,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2015,8]]}},"alternative-id":["1409"],"URL":"https:\/\/doi.org\/10.1007\/s00500-014-1409-3","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,10]]}}}