Pietro S. Oliveto

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Dirk SudholtUniversity of Passau, GermanyVerified email at uni-passau.de
Carsten WittTechnical University of DenmarkVerified email at imm.dtu.dk
Per Kristian LehreProfessor at University of Birmingham and UKRI Turing AI Acceleration FellowVerified email at cs.bham.ac.uk
Xin YaoSouthern University of Science and Technology and University of Birmingham (UK)Verified email at cs.bham.ac.uk
Dogan CorusKadir Has UniversityVerified email at khas.edu.tr
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Jun HeNottingham Trent UniversityVerified email at ntu.ac.uk
Christine ZargesDepartment of Computer Science, Aberystwyth UniversityVerified email at aber.ac.uk
Donya YazdaniUniversity of SheffieldVerified email at sheffield.ac.uk
Duc-Cuong DangUniversity of Southampton, UKVerified email at soton.ac.uk
Andrew M. SuttonUniversity of Minnesota DuluthVerified email at umn.edu
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Thomas JansenAberystwyth UniversityVerified email at aber.ac.uk
Tiago PaixaoInstituto Gulbenkian de CiênciaVerified email at igc.gulbenkian.pt
Matteo De FeliceEuropean Commission, Joint Research CentreVerified email at ec.europa.eu
Anastasia Athanasiou (she/they)Postdoctoral fellow, Concordia UniversityVerified email at dica.unict.it
Stefan KratschProfessor at Humboldt University BerlinVerified email at informatik.hu-berlin.de
Andrea MambriniExogeneVerified email at exogene.co.uk
Arjun ChandraFounder at brua.ioVerified email at brua.io

Pietro S. Oliveto

Professor of Computer Science, Chair in Algorithms, The University of Sheffield

Verified email at sheffield.ac.uk

Artificial Intelligence Evolutionary Computation


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Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results PS Oliveto, J He, X Yao International Journal of Automation and Computing 4, 281-293, 2007	267	2007
Simplified drift analysis for proving lower bounds in evolutionary computation PS Oliveto, C Witt Algorithmica 59, 369-386, 2011	173	2011
Analysis of diversity-preserving mechanisms for global exploration T Friedrich, PS Oliveto, D Sudholt, C Witt Evolutionary Computation 17 (4), 455-476, 2009	112	2009
Analysis of the -EA for Finding Approximate Solutions to Vertex Cover Problems PS Oliveto, J He, X Yao IEEE Transactions on Evolutionary Computation 13 (5), 1006-1029, 2009	108	2009
Improved time complexity analysis of the simple genetic algorithm PS Oliveto, C Witt Theoretical Computer Science 605, 21-41, 2015	107	2015
Escaping local optima using crossover with emergent diversity DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... IEEE Transactions on Evolutionary Computation 22 (3), 484-497, 2017	104	2017
Standard steady state genetic algorithms can hillclimb faster than mutation-only evolutionary algorithms D Corus, PS Oliveto IEEE Transactions on Evolutionary Computation 22 (5), 720-732, 2017	99	2017
On the convergence of immune algorithms V Cutello, G Nicosia, M Romeo, PS Oliveto 2007 IEEE Symposium on Foundations of Computational Intelligence, 409-415, 2007	78	2007
Theoretical analysis of fitness-proportional selection: landscapes and efficiency F Neumann, PS Oliveto, C Witt Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009	74	2009
On the runtime analysis of the simple genetic algorithm PS Oliveto, C Witt Theoretical Computer Science 545, 2-19, 2014	63	2014
Escaping local optima with diversity mechanisms and crossover DC Dang, T Friedrich, T Kötzing, MS Krejca, PK Lehre, PS Oliveto, ... Proceedings of the Genetic and Evolutionary Computation Conference 2016, 645-652, 2016	61	2016
Erratum: Simplified drift analysis for proving lower bounds in evolutionary computation PS Oliveto, C Witt arXiv preprint arXiv:1211.7184, 2012	59	2012
Analysis of population-based evolutionary algorithms for the vertex cover problem PS Oliveto, J He, X Yao 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008	57	2008
Theoretical analysis of rank-based mutation-combining exploration and exploitation PS Oliveto, PK Lehre, F Neumann 2009 IEEE Congress on Evolutionary Computation, 1455-1462, 2009	47	2009
On the runtime analysis of selection hyper-heuristics with adaptive learning periods B Doerr, A Lissovoi, PS Oliveto, JA Warwicker Proceedings of the Genetic and Evolutionary Computation Conference, 1015-1022, 2018	44	2018
On the effectiveness of crossover for migration in parallel evolutionary algorithms F Neumann, PS Oliveto, G Rudolph, D Sudholt Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011	43	2011
Runtime analysis of evolutionary algorithms for discrete optimization PS Oliveto, X Yao Theory of Randomized Search Heuristics: Foundations and Recent Developments …, 2011	43	2011
On the time complexity of algorithm selection hyper-heuristics for multimodal optimisation A Lissovoi, PS Oliveto, JA Warwicker Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2322-2329, 2019	42	2019
Theoretical analysis of diversity mechanisms for global exploration T Friedrich, PS Oliveto, D Sudholt, C Witt Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	41	2008
On the Analysis of the Immune-Inspired B-Cell Algorithm for the Vertex Cover Problem. T Jansen, PS Oliveto, C Zarges ICARIS 11, 117-131, 2011	40	2011

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