Per Kristian Lehre

ORCID: 0000-0002-9521-1251

Colleges, School and Institutes

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Most downloaded publications

Level-Based Analysis of Genetic Algorithms and Other Search Processes
Per Kristian Lehre, 18 Sep 2017, In : IEEE Transactions on Evolutionary Computation. 99, 45 p.

Research output: Contribution to journal › Article

138 downloads
Runtime analysis of the (1+1) EA on computing unique input output sequences
Per Kristian Lehre & Xin Yao, 20 Feb 2014, In : Information Sciences. 259, p. 510-531

Research output: Contribution to journal › Article

116 downloads
Escaping local optima using crossover with emergent diversity
Per Kristian Lehre, 29 Aug 2017, In : IEEE Transactions on Evolutionary Computation. PP, 99, 28 p.

Research output: Contribution to journal › Article

96 downloads
Level-based analysis of the population-based incremental learning algorithm
Per Kristian Lehre & Phan Trung Hai Nguyen, 5 Oct 2018, Proceedings of the 15th International Conference on Parallel Problem Solving from Nature 2018 (PPSN XV). 1 ed. Springer, Vol. 11101. 11 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

80 downloads
Populations Can Be Essential in Tracking Dynamic Optima
Per Kristian Lehre, 1 Jun 2017, In : Algorithmica. 78, 2, p. 660-680 21 p.

Research output: Contribution to journal › Article

78 downloads

Recent publications

Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure
Per Kristian Lehre, 28 Feb 2020, (Accepted/In press) In : IEEE Transactions on Evolutionary Computation. 32 p.

Research output: Contribution to journal › Article

Parallel black-box complexity with tail bounds
Per Kristian Lehre, 4 Dec 2019, In : IEEE Transactions on Evolutionary Computation. p. 1-15 15 p.

Research output: Contribution to journal › Article

On the limitations of the univariate marginal distribution algorithm to deception and where bivariate EDAs might help
Per Kristian Lehre & Phan Trung Hai Nguyen, 27 Aug 2019, Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA '19). New York, NY, USA: Association for Computing Machinery (ACM), p. 154-168 15 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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