| A symbolic fault-prediction model based on multiobjective particle swarm optimization AB De Carvalho, A Pozo, SR Vergilio Journal of Systems and Software 83 (5), 868-882, 2010 | 128 | 2010 |
| A hyper-heuristic for the multi-objective integration and test order problem G Guizzo, GM Fritsche, SR Vergilio, ATR Pozo Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015 | 76 | 2015 |
| A multi-objective optimization approach for the integration and test order problem WKG Assunção, TE Colanzi, SR Vergilio, A Pozo Information Sciences 267, 119-139, 2014 | 67 | 2014 |
| Modeling software reliability growth with genetic programming EO Costa, SR Vergilio, A Pozo, G Souza 16th IEEE International Symposium on Software Reliability Engineering (ISSRE …, 2005 | 63 | 2005 |
| Measuring the convergence and diversity of CDAS multi-objective particle swarm optimization algorithms: a study of many-objective problems AB De Carvalho, A Pozo Neurocomputing 75 (1), 43-51, 2012 | 59 | 2012 |
| Exploring genetic programming and boosting techniques to model software reliability EO Costa, GA de Souza, ATR Pozo, SR Vergilio IEEE Transactions on Reliability 56 (3), 422-434, 2007 | 58 | 2007 |
| A genetic programming approach for software reliability modeling EO Costa, ATR Pozo, SR Vergilio IEEE transactions on reliability 59 (1), 222-230, 2010 | 57 | 2010 |
| Hyper-heuristic based product selection for software product line testing TN Ferreira, JAP Lima, A Strickler, JN Kuk, SR Vergilio, A Pozo IEEE Computational Intelligence Magazine 12 (2), 34-45, 2017 | 54 | 2017 |
| Grammatical evolution for the multi-objective integration and test order problem T Mariani, G Guizzo, SR Vergilio, ATR Pozo Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 50 | 2016 |
| An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the environmental/economic load dispatch problem JN Kuk, RA Gonçalves, LM Pavelski, SMGS Venske, CP De Almeida, ... Expert Systems with Applications 165, 113774, 2021 | 49 | 2021 |
| Parallel multi-swarm PSO strategies for solving many objective optimization problems A De Campos Jr, ATR Pozo, EP Duarte Jr Journal of Parallel and Distributed Computing 126, 13-33, 2019 | 48 | 2019 |
| Linking software testing results with a machine learning approach AR Lenz, A Pozo, SR Vergilio Engineering Applications of Artificial Intelligence 26 (5-6), 1631-1640, 2013 | 48 | 2013 |
| Exploring machine learning techniques for fault localization LC Ascari, LY Araki, ART Pozo, SR Vergilio 2009 10th Latin American Test Workshop, 1-6, 2009 | 47 | 2009 |
| A pareto ant colony algorithm applied to the class integration and test order problem R da Veiga Cabral, A Pozo, SR Vergilio Testing Software and Systems: 22nd IFIP WG 6.1 International Conference …, 2010 | 45 | 2010 |
| A multi-objective and evolutionary hyper-heuristic applied to the integration and test order problem G Guizzo, SR Vergilio, ATR Pozo, GM Fritsche Applied Soft Computing 56, 331-344, 2017 | 44 | 2017 |
| Using archiving methods to control convergence and diversity for many-objective problems in particle swarm optimization A Britto, A Pozo 2012 IEEE congress on evolutionary computation, 1-8, 2012 | 43 | 2012 |
| An Ant Colony based Hyper-Heuristic Approach for the Set Covering Problem. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal (ISSN: 2255-2863) AS Ferreira, A Pozo, RA Gonçalves Salamanca 4 (1), 2015 | 42 | 2015 |
| Upper confidence bound (UCB) algorithms for adaptive operator selection in MOEA/D RA Gonçalves, CP Almeida, A Pozo Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015 | 41 | 2015 |
| Establishing integration test orders of classes with several coupling measures WKG Assunção, TE Colanzi, ATR Pozo, SR Vergilio Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 41 | 2011 |
| Deriving products for variability test of feature models with a hyper-heuristic approach A Strickler, JAP Lima, SR Vergilio, ATR Pozo Applied Soft Computing 49, 1232-1242, 2016 | 40 | 2016 |
