Per Kristian Lehre

Publications

  1. Conference contribution › Research
  2. 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

  3. Published

    Evolution under partial information

    Per Kristian Lehre, 2014, GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery , p. 1359-1366 8 p.

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

  4. Published

    Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentration

    Per Kristian Lehre & Hai Nguyen, 1 Jul 2017, GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery , p. 1383-1390 8 p.

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

  5. 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

  6. Published

    Level-based analysis of the population-based incremental learning algorithm

    Per Kristian Lehre & 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 proceedingConference contribution

  7. Published

    Limits to learning in reinforcement learning hyper-heuristics

    Per Kristian Lehre, 2016, Evolutionary Computation in Combinatorial Optimization - 16th European Conference, EvoCOP 2016, Proceedings. Springer Verlag, Vol. 9595. p. 170-185 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9595).

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

  8. Published

    More precise runtime analyses of non-elitist EAs in uncertain environments

    Per Kristian Lehre & , 26 Jun 2021, GECCO '21: Proceedings of the 2020 Genetic and Evolutionary Computation Conference. Chicano, F. (ed.). New York: Association for Computing Machinery (ACM), p. 1160-1168 9 p. (Genetic and Evolutionary Computation Conference (GECCO)).

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

  9. Published

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

    Per Kristian Lehre, 26 Jun 2021, GECCO '21: Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Chicano, F. (ed.). Association for Computing Machinery (ACM), p. 1133–1141 9 p. (Genetic and Evolutionary Computation Conference (GECCO)).

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

  10. 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

  11. 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