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Per Kristian Lehre
Per Kristian Lehre
Professor at University of Birmingham and UKRI Turing AI Acceleration Fellow
Verifisert e-postadresse på bham.ac.uk - Startside
Tittel
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Black-box search by unbiased variation
PK Lehre, C Witt
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
2292010
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
1712017
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
1462017
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
1152006
Negative drift in populations
P Lehre
Parallel Problem Solving from Nature–PPSN XI, 244-253, 2011
1002011
Fitness-levels for non-elitist populations
PK Lehre
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
982011
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
952009
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
902009
Self-adaptation of mutation rates in non-elitist populations
DC Dang, PK Lehre
International conference on parallel problem solving from nature, 803-813, 2016
882016
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
792016
Unbiased black-box complexity of parallel search
G Badkobeh, PK Lehre, D Sudholt
Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014
782014
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
722011
Runtime analysis of non-elitist populations: from classical optimisation to partial information
DC Dang, PK Lehre
Algorithmica 75, 428-461, 2016
712016
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
692013
Concentrated hitting times of randomized search heuristics with variable drift
PK Lehre, C Witt
International Symposium on Algorithms and Computation, 686-697, 2014
652014
Crossover can be constructive when computing unique input output sequences
P Lehre, X Yao
Simulated Evolution and Learning, 595-604, 2008
642008
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
582015
Runtime analysis of the (1+ 1) ea on computing unique input output sequences
PK Lehre, X Yao
Information Sciences, 2010
55*2010
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
472009
Simplified runtime analysis of estimation of distribution algorithms
DC Dang, PK Lehre
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
452015
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Artikler 1–20