Per Kristian Lehre

Publications

  1. Published

    A parameterised complexity analysis of bi-level optimisation with evolutionary algorithms

    Per Kristian Lehre, 1 Mar 2016, In: Evolutionary Computation. 24, 1, p. 183-203 21 p.

    Research output: Contribution to journalArticlepeer-review

  2. Published

    Level-based analysis of genetic algorithms and other search processes

    Per Kristian Lehre, 2014, Parallel Problem Solving from Nature – PPSN XIII: 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Springer, p. 912-921 10 p. (Lecture Notes in Computer Science; vol. 8672).

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

  3. Published

    Level-based analysis of genetic algorithms and other search processes

    Per Kristian Lehre, Oct 2018, In: IEEE Transactions on Evolutionary Computation. 22, 5, p. 707 - 719 13 p.

    Research output: Contribution to journalArticlepeer-review

  4. Published

    Theory driven design of efficient genetic algorithms for a classical graph problem

    Per Kristian Lehre, 1 Jan 2018, In: Operations Research/ Computer Science Interfaces Series. 62, p. 125-140 16 p.

    Research output: Contribution to journalArticlepeer-review

  5. Published

    Escaping local optima using crossover with emergent diversity

    Per Kristian Lehre, Jun 2018, In: IEEE Transactions on Evolutionary Computation. 22, 3, p. 484 - 497 14 p.

    Research output: Contribution to journalArticlepeer-review

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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