Maxim Buzdalov

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Maxim Buzdalov

Dr

 https://orcid.org/0000-0002-7120-8824
Calculated based on number of publications stored in Pure and citations from Scopus
20202023

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  • 7 Conference Proceeding (Non-Journal item)
  • 1 Article

  • Lazy Parameter Tuning and Control: Choosing All Parameters Randomly from a Power-Law Distribution

    Antipov, D., Buzdalov, M. & Doerr, B., 22 Feb 2023, (E-pub ahead of print) In: Algorithmica. 43 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    6 Downloads (Pure)

  • On optimal static and dynamic parameter choices for fixed-target optimization

    Vinokurov, D. & Buzdalov, M., 08 Jul 2022, Proceedings of Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 876-883 8 p. (GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • The (1+(λ,λ)) Genetic Algorithm on the Vertex Cover Problem: Crossover Helps Leaving Plateaus

    Buzdalov, M., 18 Jul 2022, Proceedings of IEEE Congress on Evolutionary Computation. IEEE Press, (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

    Open Access
    File
    24 Downloads (Pure)

  • Towards Fixed-Target Black-Box Complexity Analysis

    Vinokurov, D. & Buzdalov, M., 10 Sept 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.). Springer Nature, p. 600-611 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13399 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms

    Antonov, K., Buzdalov, M., Buzdalova, A. & Doerr, C., 28 Jun 2021, Proceedings of IEEE Congress on Evolutionary Computation. IEEE Press, p. 878-885 8 p. (2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

    Open Access
    File
    3 Downloads (Pure)

  • Filter Sort Is Ω(N3) in the Worst Case

    Mishra, S. & Buzdalov, M., 02 Sept 2020, Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020, Proceedings. Bäck, T., Preuss, M., Deutz, A., Emmerich, M., Wang, H., Doerr, C. & Trautmann, H. (eds.). Springer Nature, p. 675-685 11 p. (Lecture Notes in Computer Science; vol. 12270).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

    Open Access
    File
    8 Downloads (Pure)

  • First Steps Towards a Runtime Analysis When Starting with a Good Solution

    Antipov, D., Buzdalov, M. & Doerr, B., 02 Sept 2020, Parallel Problem Solving from Nature – PPSN XVI. Bäck, T., Preuss, M., Deutz, A., Emmerich, M., Wang, H., Doerr, C. & Trautmann, H. (eds.). Springer Nature, p. 560-573 14 p. (Lecture Notes in Computer Science; vol. 12270).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

    Open Access
    File
    7 Downloads (Pure)

  • Optimal Mutation Rates for the (1+λ) EA on OneMax

    Buzdalov, M. & Doerr, C., 02 Sept 2020, Parallel Problem Solving from Nature – PPSN XVI. Bäck, T., Preuss, M., Deutz, A., Emmerich, M., Wang, H., Doerr, C. & Trautmann, H. (eds.). Springer Nature, p. 574-587 14 p. (Lecture Notes in Computer Science; vol. 12270).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

    Open Access
    File
    8 Downloads (Pure)