Per Kristian Lehre

Publications

  1. Published

    Efficient optimisation of noisy fitness functions with population-based evolutionary algorithms

    Per Kristian Lehre, 17 Jan 2015, FOGA 2015 - Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery , p. 62-68 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Published

    Refined upper bounds on the expected runtime of non-elitist populations from fitness-levels

    Per Kristian Lehre, 2014, GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery , p. 1367-1374 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Accepted/In press

    Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys

    Per Kristian Lehre, 26 Mar 2021, (Accepted/In press) GECCO '21: Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Published

    Populations can be essential in dynamic optimisation

    Per Kristian Lehre, 11 Jul 2015, GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference. Association for Computing Machinery , p. 1407-1414 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Published

    Escaping local optima with diversity mechanisms and crossover

    Per Kristian Lehre, 20 Jul 2016, GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference. Association for Computing Machinery , p. 645-652 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Published

    Runtime Analysis of Non-elitist Populations: From Classical Optimisation to Partial Information

    Per Kristian Lehre, 1 Jul 2016, In: Algorithmica. 75, 3, p. 428-461 34 p.

    Research output: Contribution to journalArticlepeer-review

  7. Published

    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 journalArticlepeer-review

  8. Published

    Level-based analysis of the univariate marginal distribution algorithm

    Per Kristian Lehre & Hai Nguyen, 15 Feb 2019, In: Algorithmica. 81, 2, p. 668-702 35 p.

    Research output: Contribution to journalArticlepeer-review

  9. Published

    On the effect of populations in evolutionary multi-objective optimization

    Per Kristian Lehre, 1 Jan 2006, p. 651-658. 8 p.

    Research output: Contribution to conference (unpublished)Paper

  10. Published

    On the Effect of Populations in Evolutionary Multi-Objective Optimisation

    Per Kristian Lehre, 1 Oct 2010, In: Evolutionary Computation. 18, 3, p. 335-356 22 p.

    Research output: Contribution to journalArticle