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Сотрудник подразделения

Публикации

  1. 11Antipov D., Buzdalov M., Doerr B. Fast Mutation in Crossover-based Algorithms // GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference - 2020, pp. 1268-1276
  2. 10Antipov D., Buzdalov M., Doerr B. First Steps Towards a Runtime Analysis When Starting With a Good Solution // Parallel Problem Solving from Nature, PPSN 2020 - 2020, pp. 560-573
  3. 9Antipov D., Doerr B. A Tight Runtime Analysis for the (mu plus lambda) EA // Algorithmica - 2020, pp. in press [SJR: 0.667]
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  4. 8Antipov D., Doerr B. Runtime Analysis of a Heavy-Tailed $(1+(lambda,lambda))$ Genetic Algorithm on Jump Functions // Parallel Problem Solving from Nature, PPSN 2020 - 2020, pp. 545-559
  5. 7Antipov D., Doerr B., Karavaev V. The (1+(lambda,lambda)) GA Is Even Faster on Multimodal Problems // GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference - 2020, pp. 1259-1267
  6. 6Antipov D., Doerr B., Karavaev V. A Tight Runtime Analysis for the (1 + (lambda, lambda)) GA on Leading Ones // 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2019 - 2019, pp. 169-182
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  7. 5Antipov D., Doerr B., Yang Q. The Efficiency Threshold for the Offspring Population Size of the (mu, lambda) EA // GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion - 2019, pp. 1461-1469
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  8. 4Karavaev V., Antipov D., Doerr B. Theoretical and Empirical Study of the (1 + (lambda, lambda)) EA on the LeadingOnes Problem // GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion - 2019, pp. 2036-2039
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  9. 3Muravyov S., Antipov D., Buzdalova A., Filchenkov A. Efficient Computation Of Fitness Function For Evolutionary Clustering // Mendel - 2019, Vol. 25, No. 1, pp. 87-94 [SJR: 0.118]
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  10. 2Antipov D., Fang J., Doerr B., Hetet T. A tight runtime analysis for the (+) EA // GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion - 2018, pp. 1459-1466
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  11. 1Antipov D.S., Buzdalov M.V., Doerr B. Runtime Analysis of (1+1) Evolutionary Algorithm Controlled with Q-learning using Greedy Exploration Strategy on OneMax+ZeroMax Problem // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2015, Vol. 9026, pp. 160-172 [SJR: 0.283]
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