Per Kristian Lehre

Publications

  1. 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

  2. Published
  3. 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    Research output: Contribution to conference (unpublished)Paper

  4. Published

    On the impact of the mutation-selection balance on the runtime of evolutionary algorithms

    Per Kristian Lehre & Xin Yao, 11 Jan 2009, p. 47-58. 12 p.

    Research output: Contribution to conference (unpublished)Paper

  5. Published

    On the limitations of the univariate marginal distribution algorithm to deception and where bivariate EDAs might help

    Per Kristian Lehre & 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 proceedingConference contribution

  6. Published

    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 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

    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

  9. 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

  10. 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