Dr Maxim Buzdalov

Walden, A & Buzdalov, M 2024, A Simple Statistical Test Against Origin-Biased Metaheuristics. in S Smith, J Correia & C Cintrano (eds), Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14634 LNCS, Springer Nature, pp. 322-337, 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, Aberystwyth, United Kingdom of Great Britain and Northern Ireland, 03 Apr 2024. 10.1007/978-3-031-56852-7_21

Buzdalov, M 2023, Improving Time and Memory Efficiency of Genetic Algorithms by Storing Populations as Minimum Spanning Trees of Patches. in GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, Inc, pp. 1873-1881, 2023 Genetic and Evolutionary Computation Conference Companion, GECCO 2023 Companion, Lisbon, Portugal, 15 Jul 2023. 10.1145/3583133.3596388

Chen, D, Buzdalov, M, Doerr, C & Dang, N 2023, Using Automated Algorithm Configuration for Parameter Control. in FOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, Inc, pp. 38-49, 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2023, Potsdam, Germany, 30 Aug 2023. 10.1145/3594805.3607127