Per Kristian Lehre
Per Kristian Lehre
University of Birmingham
Bestätigte E-Mail-Adresse bei cs.bham.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Black-box search by unbiased variation
PK Lehre, C Witt
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
1682010
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
982017
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
772009
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
722009
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
69*2006
Fitness-levels for non-elitist populations
PK Lehre
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
652011
Negative drift in populations
P Lehre
Parallel Problem Solving from Nature–PPSN XI, 244-253, 2011
622011
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
572017
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
562011
Self-adaptation of mutation rates in non-elitist populations
DC Dang, PK Lehre
International Conference on Parallel Problem Solving from Nature, 803-813, 2016
552016
Unbiased black-box complexity of parallel search
G Badkobeh, PK Lehre, D Sudholt
International Conference on Parallel Problem Solving from Nature, 892-901, 2014
552014
Crossover can be constructive when computing unique input output sequences
P Lehre, X Yao
Simulated Evolution and Learning, 595-604, 2008
552008
Concentrated hitting times of randomized search heuristics with variable drift
PK Lehre, C Witt
International Symposium on Algorithms and Computation, 686-697, 2014
492014
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
492013
Runtime analysis of the (1+ 1) ea on computing unique input output sequences
PK Lehre, X Yao
Information Sciences, 2010
49*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
432009
Runtime analysis of non-elitist populations: From classical optimisation to partial information
DC Dang, PK Lehre
Algorithmica 75 (3), 428-461, 2016
362016
When is an estimation of distribution algorithm better than an evolutionary algorithm?
T Chen, PK Lehre, K Tang, X Yao
Evolutionary Computation, 2009. CEC'09. IEEE Congress on, 1470-1477, 2009
342009
Developmental mappings and phenotypic complexity
PK Lehre, PC Haddow
Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 1, 62-68 Vol. 1, 2003
342003
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
332016
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