{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T08:03:31Z","timestamp":1725609811866},"reference-count":71,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2014,2,1]],"date-time":"2014-02-01T00:00:00Z","timestamp":1391212800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["CEB09-0010","PYR-2012-13 CEI BioTIC GENIL"],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011011","name":"Junta de Andaluc\u00eda","doi-asserted-by":"publisher","award":["P10-TIC-6858"],"id":[{"id":"10.13039\/501100011011","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003176","name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","doi-asserted-by":"publisher","award":["TIN2011-28488"],"id":[{"id":"10.13039\/501100003176","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2014,2]]},"DOI":"10.1016\/j.ins.2013.09.009","type":"journal-article","created":{"date-parts":[[2013,9,14]],"date-time":"2013-09-14T10:47:55Z","timestamp":1379155675000},"page":"1-28","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":60,"special_numbering":"C","title":["QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules"],"prefix":"10.1016","volume":"258","author":[{"given":"D.","family":"Mart\u00edn","sequence":"first","affiliation":[]},{"given":"A.","family":"Rosete","sequence":"additional","affiliation":[]},{"given":"J.","family":"Alcal\u00e1-Fdez","sequence":"additional","affiliation":[]},{"given":"F.","family":"Herrera","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ins.2013.09.009_b0005","doi-asserted-by":"crossref","unstructured":"R. Agrawal, T. Imielinski, A. Swami, Mining association rules between sets of items in large databases, in: SIGMOD, Washington DC, 1993.","DOI":"10.1145\/170035.170072"},{"key":"10.1016\/j.ins.2013.09.009_b0010","unstructured":"R. Agrawal, R. Srikant, Fast algorithms formining association rules, in: International Conference Large Data Bases, Santiago de Chile, Chile, 1994."},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0015","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1142\/S0219649204000869","article-title":"Efficient mining of frequent itemsets and a measure of interest for association rule mining","volume":"3","author":"Ahn","year":"2004","journal-title":"Journal of Information & Knowledge Management"},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0020","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1007\/s00500-005-0476-x","article-title":"An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules","volume":"10","author":"Alatas","year":"2006","journal-title":"Soft Computing"},{"issue":"1","key":"10.1016\/j.ins.2013.09.009_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2007.05.003","article-title":"Modenar: multi-objective differential evolution algorithm for mining numeric association rules","volume":"8","author":"Alatas","year":"2008","journal-title":"Applied Soft Computing"},{"issue":"5","key":"10.1016\/j.ins.2013.09.009_b0030","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1109\/TFUZZ.2011.2147794","article-title":"A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning","volume":"19","author":"Alcala-Fdez","year":"2011","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"2\u20133","key":"10.1016\/j.ins.2013.09.009_b0035","first-page":"255","article-title":"KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework","volume":"17","author":"Alcala-Fdez","year":"2011","journal-title":"Journal of Multiple-Valued Logic and Soft Computing"},{"issue":"1","key":"10.1016\/j.ins.2013.09.009_b0040","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.3233\/FI-2010-213","article-title":"Analysis of the effectiveness of the genetic algorithms based on extraction of association rules","volume":"98","author":"Alcala-Fdez","year":"2010","journal-title":"Fundamenta Informaticae"},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0045","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s00500-008-0323-y","article-title":"KEEL: A software tool to assess evolutionary algorithms to data mining problems","volume":"13","author":"Alcala-Fdez","year":"2009","journal-title":"Soft Computing"},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0050","doi-asserted-by":"crossref","first-page":"221","DOI":"10.3233\/IDA-2002-6303","article-title":"Measuring the accuracy and interest of association rules: a new framework","volume":"6","author":"Berzal","year":"2002","journal-title":"Intelligent Data Analysis"},{"key":"10.1016\/j.ins.2013.09.009_b0055","unstructured":"C. Borgelt, Efficient implementations of apriori and eclat, in: Workshop on Frequent Itemset Mining Implementations, vol. 90, CEUR Workshop Proc., Florida, USA, 2003."},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0060","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1145\/253262.253325","article-title":"Dynamic itemset counting and implication rules for market basket data","volume":"26","author":"Brin","year":"1997","journal-title":"ACM SIGMOD Record"},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0065","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1080\/18756891.2012.685314","article-title":"Finding Pareto-front membership functions in fuzzy data mining","volume":"5","author":"Chen","year":"2012","journal-title":"International Journal of Computational Intelligence Systems"},{"key":"10.1016\/j.ins.2013.09.009_b0070","series-title":"Evolutionary Algorithms for Solving Multi-Objective Problems","author":"Coello","year":"2002"},{"key":"10.1016\/j.ins.2013.09.009_b0075","doi-asserted-by":"crossref","unstructured":"C. Coello, G. Toscano, A micro-genetic algorithm for multiobjective optimization, in: First International Conference on Evolutionary Multi-Criterion Optimization, LNCS 1993, London, UK, 2001, pp. 126\u2013140.","DOI":"10.1007\/3-540-44719-9_9"},{"key":"10.1016\/j.ins.2013.09.009_b0080","unstructured":"D. Corne, N. Jerram, J. Knowles, M. Oates, PESA-II: region based selection in evolutionary multiobjective optimization, in: Genetic and Evolutionary Computation Conf., San Francisco, CA, 2001."},{"key":"10.1016\/j.ins.2013.09.009_b0085","doi-asserted-by":"crossref","unstructured":"D. Corne, J. Knowles, M. Oates, The pareto envelopebased selection algorithm for multiobjective optimization, in: Parallel Problem Solving from Nature, LNCS 1917, Paris, France, 2000, pp. 839\u2013848.","DOI":"10.1007\/3-540-45356-3_82"},{"key":"10.1016\/j.ins.2013.09.009_b0090","series-title":"Multi-Objective Optimization using Evolutionary Algorithms","author":"Deb","year":"2001"},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0095","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Transactions Evolutionary Computation"},{"issue":"4","key":"10.1016\/j.ins.2013.09.009_b0100","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1162\/106365605774666895","article-title":"Evaluating the epsilon-domination based multiobjective evolutionary algorithm for a quick computation of Pareto-optimal solutions","volume":"13","author":"Deb","year":"2005","journal-title":"Evolutionary Computation"},{"key":"10.1016\/j.ins.2013.09.009_b0105","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"Demsar","year":"2006","journal-title":"Journal of Machine Learning Research"},{"issue":"1","key":"10.1016\/j.ins.2013.09.009_b0110","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1162\/evco.2010.18.1.18105","article-title":"Strength Pareto particle swarm optimization and hybrid EA-PSO for multi-objective optimization","volume":"18","author":"Elhossini","year":"2010","journal-title":"Evolutionary Computation"},{"key":"10.1016\/j.ins.2013.09.009_b0115","doi-asserted-by":"crossref","unstructured":"M. Erickson, A. Mayer, J. Horn, The niched Pareto genetic Algorithm 2 applied to the design of groundwater remediation systems, in: First International Conference on Evolutionary MultiCriterion Optimization, LNCS 1993, London, UK, 2001, pp. 681\u2013695.","DOI":"10.1007\/3-540-44719-9_48"},{"key":"10.1016\/j.ins.2013.09.009_b0120","unstructured":"M. Fidelis, H. Lopes, A. Freitas, Discovering comprehensible classification rules with a genetic algorithm, in: Proceedings of the 2000 Congress on Evolutionary Computation, CA, USA, 2000."},{"issue":"423","key":"10.1016\/j.ins.2013.09.009_b0125","doi-asserted-by":"crossref","first-page":"920","DOI":"10.1080\/01621459.1993.10476358","article-title":"On a monotonicity problem in step-down multiple test procedures","volume":"88","author":"Finner","year":"1993","journal-title":"Journal of the American Statistical Association"},{"key":"10.1016\/j.ins.2013.09.009_b0130","unstructured":"C. Fonseca, P. Fleming, Genetic algorithms for multiobjective optimization: formulation, discussion and generalization, in: 5th International Conference on Genetic Algorithms, San Mateo, CA, 1993."},{"key":"10.1016\/j.ins.2013.09.009_b0135","unstructured":"C. Fonseca, L. Paquete, M. Lopez-Ibanez, An improved dimension-sweep algorithm for the hypervolume indicator, in: IEEE Congress on Evolutionary Computation, Vancouver, Canada, 2006."},{"issue":"200","key":"10.1016\/j.ins.2013.09.009_b0140","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1080\/01621459.1937.10503522","article-title":"The use of ranks to avoid the assumption of normality implicit in the analysis of variance","volume":"32","author":"Friedman","year":"1937","journal-title":"Journal of the American Statistical Association"},{"issue":"10","key":"10.1016\/j.ins.2013.09.009_b0145","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s00500-008-0392-y","article-title":"A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability","volume":"13","author":"Garcia","year":"2009","journal-title":"Soft Computing"},{"key":"10.1016\/j.ins.2013.09.009_b0150","first-page":"2579","article-title":"An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons","volume":"9","author":"Garcia","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.ins.2013.09.009_b0155","first-page":"617","article-title":"A study on the use of non-parametric tests for analyzing the evolutionary algorithms behaviour: A case study on the cec 2005 special session on real parameter optimization","volume":"15","author":"Garcia","year":"2009","journal-title":"Journal of Heuristics"},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0160","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1132960.1132963","article-title":"Interestingness measures for data mining: a survey","volume":"38","author":"Geng","year":"2006","journal-title":"ACM Computing Surveys"},{"issue":"1-3","key":"10.1016\/j.ins.2013.09.009_b0165","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.ins.2003.03.021","article-title":"Multi-objective rule mining using genetic algorithms","volume":"163","author":"Ghosh","year":"2004","journal-title":"Information Sciences"},{"key":"10.1016\/j.ins.2013.09.009_b0170","series-title":"Data Mining: Concepts and Techniques","author":"Han","year":"2006"},{"key":"10.1016\/j.ins.2013.09.009_b0175","first-page":"65","article-title":"A simple sequentially rejective multiple test procedure","volume":"6","author":"Holm","year":"1979","journal-title":"Scandinavian Journal of Statistics"},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0180","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1109\/TEVC.2007.900992","article-title":"Genetic-fuzzy data mining with divide-and-conquer strategy","volume":"12","author":"Hong","year":"2008","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.ins.2013.09.009_b0185","unstructured":"J. Horn, N. Nafpliotis, D. Goldberg, A niched pareto genetic algorithm for multiobjective optimization, in: First IEEE Conf. on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Piscataway, NJ, 1994."},{"issue":"6","key":"10.1016\/j.ins.2013.09.009_b0190","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1080\/03610928008827904","article-title":"Approximations of the critical region of the Friedman statistic","volume":"9","author":"Iman","year":"1980","journal-title":"Communications in Statistics \u2013 Theory and Methods"},{"issue":"11","key":"10.1016\/j.ins.2013.09.009_b0195","doi-asserted-by":"crossref","first-page":"3107","DOI":"10.1016\/j.cor.2005.01.022","article-title":"Evaluating the performance of cost-based discretization versus entropy and error-based discretization","volume":"33","author":"Janssens","year":"2006","journal-title":"Computers and Operations Research"},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0200","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1162\/106365600568167","article-title":"Approximating the nondominated front using the Pareto archived evolution strategy","volume":"8","author":"Knowles","year":"2000","journal-title":"Evolutionary Computation"},{"issue":"1","key":"10.1016\/j.ins.2013.09.009_b0205","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1109\/TEVC.2009.2024143","article-title":"HCS: a new local search strategy for memetic multiobjective evolutionary algorithms","volume":"14","author":"Lara","year":"2010","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"4","key":"10.1016\/j.ins.2013.09.009_b0210","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.knosys.2006.06.005","article-title":"A hellinger-based discretization method for numerical attributes in classification learning","volume":"20","author":"Lee","year":"2007","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0215","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TEVC.2008.925798","article-title":"Multiobjective optimization problems with complicated Pareto sets MOEA\/D and NSGA-II","volume":"13","author":"Li","year":"2009","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"4","key":"10.1016\/j.ins.2013.09.009_b0220","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1023\/A:1016304305535","article-title":"Discretization: an enabling technique","volume":"6","author":"Liu","year":"2002","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/j.ins.2013.09.009_b0225","doi-asserted-by":"crossref","unstructured":"J. Mata, J. Alvarez, J.J. Riquelme, Mining numeric association rules with genetic algorithms, in: 5th International Conference on Artificial Neural Networks and Genetic Algorithms, Taipei, Taiwan, 2001.","DOI":"10.1007\/978-3-7091-6230-9_65"},{"key":"10.1016\/j.ins.2013.09.009_b0230","doi-asserted-by":"crossref","unstructured":"J. Mata, J. Alvarez, J. Riquelme, An evolutionary algorithm to discover numeric association rules, in: ACM Symposium on Applied Computing, Madrid, Spain, 2002.","DOI":"10.1145\/508791.508905"},{"key":"10.1016\/j.ins.2013.09.009_b0235","unstructured":"O. Mersmann, emoa: Evolutionary Multiobjective Optimization Algorithms, 2013. ."},{"key":"10.1016\/j.ins.2013.09.009_b0240","unstructured":"G. Piatetsky-Shapiro, Discovery, analysis, and presentation of strong rules, in: C. MIT Press (Ed.), Knowledge Discovery in Databases, Cambridge, MA, 1991, pp. 229\u2013248."},{"key":"10.1016\/j.ins.2013.09.009_b0245","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.eswa.2010.06.060","article-title":"Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence","volume":"38","author":"Qodmanan","year":"2011","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ins.2013.09.009_b0250","unstructured":"S. Ramaswamy, S. Mahajan, A. Silberschatz, On the discovery of interesting patterns in association rules, in: 24rd International Conference on Very Large Data Bases, San Francisco, CA, USA, 1998."},{"key":"10.1016\/j.ins.2013.09.009_b0255","unstructured":"R. Rosenberg, Simulation of genetic populations with biochemical properties, Master\u2019s thesis, University of Michigan, Ann Harbor, Michigan, 1967."},{"key":"10.1016\/j.ins.2013.09.009_b0260","unstructured":"J. Schaffer, Multiple objective optimization with vector evaluated genetic algorithms, in: First International Conference on Genetic Algorithms, Pittsburgh, USA, 1985."},{"key":"10.1016\/j.ins.2013.09.009_b0265","series-title":"Handbook of Parametric and Nonparametric Statistical Procedures","author":"Sheskin","year":"2003"},{"issue":"3\u20134","key":"10.1016\/j.ins.2013.09.009_b0270","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/0025-5564(75)90047-4","article-title":"A model of inexact reasoning in medicine","volume":"23","author":"Shortliffe","year":"1975","journal-title":"Mathematical Biosciences"},{"issue":"1","key":"10.1016\/j.ins.2013.09.009_b0275","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1023\/A:1009713703947","article-title":"Beyond market baskets: generalizing association rules to dependence rules","volume":"2","author":"Silverstein","year":"1998","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/j.ins.2013.09.009_b0280","doi-asserted-by":"crossref","unstructured":"R. Srikant, R. Agrawal, Mining quantitative association rules in large relational tables, in: ACM SIGMOD International Conference on Management of data (SIGMOD96), Montreal, Quebec, Canada, 1996.","DOI":"10.1145\/233269.233311"},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0285","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","article-title":"Multiobjective optimization using nondominated sorting in genetic algorithms","volume":"2","author":"Srinivas","year":"1994","journal-title":"Evolutionary Computation"},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0290","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/s10462-011-9212-3","article-title":"Evolutionary multi objective optimization for rule mining: a review","volume":"36","author":"Srinivasan","year":"2011","journal-title":"Artificial Intelligence Review"},{"key":"10.1016\/j.ins.2013.09.009_b0295","unstructured":"T. Tanino, M. Tanaka, C. Hojo, An interactive multicriteria decision making method by using a genetic algorithm, in: 2nd International Conference on Systems Science and Systems Engineering, 1993."},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0300","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1016\/j.ins.2007.09.004","article-title":"A discretization algorithm based on class-attribute contingency coefficient","volume":"178","author":"Tsai","year":"2008","journal-title":"Information Science"},{"issue":"1","key":"10.1016\/j.ins.2013.09.009_b0305","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/S0165-0114(97)00385-0","article-title":"Integrating membership functions and fuzzy rule sets from multiple knowledge sources","volume":"112","author":"Wang","year":"2000","journal-title":"Fuzzy Sets and Systems"},{"issue":"6","key":"10.1016\/j.ins.2013.09.009_b0310","doi-asserted-by":"crossref","first-page":"80","DOI":"10.2307\/3001968","article-title":"Individual comparisons by ranking methods","volume":"1","author":"Wilcoxon","year":"1945","journal-title":"Biometrics"},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0315","doi-asserted-by":"crossref","first-page":"3066","DOI":"10.1016\/j.eswa.2008.01.028","article-title":"Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support","volume":"36","author":"Yan","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"10.1016\/j.ins.2013.09.009_b0320","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1109\/69.846291","article-title":"Scalable algorithms for association mining","volume":"12","author":"Zaki","year":"2000","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.ins.2013.09.009_b0325","series-title":"Association Rule Mining: Models and Algorithms","author":"Zhang","year":"2002"},{"issue":"6","key":"10.1016\/j.ins.2013.09.009_b0330","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: a multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2007","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"10.1016\/j.ins.2013.09.009_b0335","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.swevo.2011.03.001","article-title":"Multiobjective evolutionary algorithms: a survey of the state of the art","volume":"1","author":"Zhou","year":"2011","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.ins.2013.09.009_b0340","doi-asserted-by":"crossref","unstructured":"E. Zitzler, S. Kunzli, Indicator-based selection in multiobjective search, in: Parallel Problem Solving from Nature, LNCS 3242, 2004, pp. 832\u2013842.","DOI":"10.1007\/978-3-540-30217-9_84"},{"key":"10.1016\/j.ins.2013.09.009_b0345","unstructured":"E. Zitzler, M. Laumanns,, L. Thiele, SPEA2: Improving the strength Pareto evolutionary algorithm for multiobjective optimization, in: Evolutionary Methods for Design, Optimization and Control with applications to Industrial Problems, Barcelona, Spain, 2001."},{"issue":"4","key":"10.1016\/j.ins.2013.09.009_b0350","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","article-title":"Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach","volume":"3","author":"Zitzler","year":"1999","journal-title":"IEEE Transactions Evolutionary Computation"},{"issue":"2","key":"10.1016\/j.ins.2013.09.009_b0355","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/TEVC.2003.810758","article-title":"Performance assessment of multiobjective optimizers: an analysis and review","volume":"7","author":"Zitzler","year":"2003","journal-title":"IEEE Transactions on Evolutionary Computation"}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025513006427?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025513006427?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T03:25:01Z","timestamp":1655954701000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025513006427"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,2]]},"references-count":71,"alternative-id":["S0020025513006427"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2013.09.009","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2014,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2013.09.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2013 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}