Per Kristian Lehre 个人学术档案

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引用	2823	1586
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Duc-Cuong DangUniversity of Southampton, UK在 soton.ac.uk 的电子邮件经过验证
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of Sheffield在 sheffield.ac.uk 的电子邮件经过验证
Dirk SudholtUniversity of Passau, Germany在 uni-passau.de 的电子邮件经过验证
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, Germany在 hpi.de 的电子邮件经过验证
Anton EremeevOmsk Branch of Sobolev Institute of Mathematics在 ofim.oscsbras.ru 的电子邮件经过验证
Martin S. KrejcaLIX, CNRS, Ecole Polytechnique, IPP在 polytechnique.edu 的电子邮件经过验证
Dogan CorusKadir Has University在 khas.edu.tr 的电子邮件经过验证
Andrew M. SuttonUniversity of Minnesota Duluth在 umn.edu 的电子邮件经过验证
Carsten WittTechnical University of Denmark在 imm.dtu.dk 的电子邮件经过验证
Frank NeumannOptimisation and Logistics, School of Computer在 adelaide.edu.au 的电子邮件经过验证
Pauline C HaddowNTNU在 idi.ntnu.no 的电子邮件经过验证
Golnaz BadkobehCity, University of London在 city.ac.uk 的电子邮件经过验证
Tiago PaixaoInstituto Gulbenkian de Ciência在 igc.gulbenkian.pt 的电子邮件经过验证
Andrea ArcuriProfessor of Software Engineering at Kristiania University College在 kristiania.no 的电子邮件经过验证
Barbora TrubenováETH Zurich在 env.ethz.ch 的电子邮件经过验证
Thomas JansenAberystwyth University在 aber.ac.uk 的电子邮件经过验证
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, France在 mpi-inf.mpg.de 的电子邮件经过验证
Markus WagnerAssociate Professor of Computer Science, Monash University, Australia在 monash.edu 的电子邮件经过验证
Ender ÖzcanProfessor of Computer Science and Operational Research, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证
Ke TangProfessor, Southern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证

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Per Kristian Lehre

Professor at University of Birmingham and UKRI Turing AI Acceleration Fellow

在 cs.bham.ac.uk 的电子邮件经过验证 - 首页

Evolutionary Computation Coevolution Natural Computation


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Black-box search by unbiased variation PK Lehre, C Witt Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010	223	2010
Level-based analysis of genetic algorithms and other search processes D Corus, DC Dang, AV Eremeev, PK Lehre IEEE Transactions on Evolutionary Computation 22 (5), 707-719, 2017	166	2017
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	136	2017
On the effect of populations in evolutionary multi-objective optimization O Giel, PK Lehre Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006	101	2006
Negative drift in populations P Lehre Parallel Problem Solving from Nature–PPSN XI, 244-253, 2011	99	2011
On the impact of the mutation-selection balance on the runtime of evolutionary algorithms PK Lehre, X Yao Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic …, 2009	97	2009
Fitness-levels for non-elitist populations PK Lehre Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011	90	2011
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change P Rohlfshagen, PK Lehre, X Yao Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009	90	2009
Self-adaptation of mutation rates in non-elitist populations DC Dang, PK Lehre Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016	85	2016
Unbiased black-box complexity of parallel search G Badkobeh, PK Lehre, D Sudholt Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014	77	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	73	2016
Faster black-box algorithms through higher arity operators B Doerr, D Johannsen, T Kötzing, PK Lehre, M Wagner, C Winzen Proceedings of the 11th workshop proceedings on Foundations of genetic …, 2011	68	2011
A runtime analysis of simple hyper-heuristics: To mix or not to mix operators PK Lehre, E Özcan Proceedings of the twelfth workshop on Foundations of genetic algorithms XII …, 2013	67	2013
Runtime analysis of non-elitist populations: from classical optimisation to partial information DC Dang, PK Lehre Algorithmica 75, 428-461, 2016	66	2016
Crossover can be constructive when computing unique input output sequences P Lehre, X Yao Simulated Evolution and Learning, 595-604, 2008	65	2008
Concentrated hitting times of randomized search heuristics with variable drift PK Lehre, C Witt International Symposium on Algorithms and Computation, 686-697, 2014	62	2014
Runtime analysis of the (1+ 1) ea on computing unique input output sequences PK Lehre, X Yao Information Sciences, 2010	53*	2010
Efficient optimisation of noisy fitness functions with population-based evolutionary algorithms DC Dang, PK Lehre Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015	52	2015
Theoretical analysis of rank-based mutation-combining exploration and exploitation PS Oliveto, PK Lehre, F Neumann Evolutionary Computation, 2009. CEC'09. IEEE Congress on, 1455-1462, 2009	47	2009
Simplified runtime analysis of estimation of distribution algorithms DC Dang, PK Lehre Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015	40	2015

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