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Публикации

1. Yakupov I., Buzdalov M. Improved Incremental Non-dominated Sorting for Steady-State Evolutionary Multiobjective Optimization // GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion - 2017, pp. 649-656


2. Vasin A., Buzdalov M. A Faster Algorithm for the Binary Epsilon Indicator Based on Orthant Minimum Search // GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference - 2016, pp. 613-620


3. Buzdalov M., Buzdalova A. Can OneMax Help Optimizing LeadingOnes using the EA+RL Method? // IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings - 2015, pp. 1762-1768


4. Buzdalov M., Buzdalova A. Analysis of Q-Learning with Random Exploration for Selection of Auxiliary Objectives in Random Local Search // IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings - 2015, pp. 1776-1783


5. Afanasyeva A., Buzdalov M. Optimization with Auxiliary Criteria using Evolutionary Algorithms and Reinforcement Learning // Mendel - 2012, pp. 58-63


6. Antipov 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


7. Buzdalov M., Buzdalova A., Shalyto A. A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning // Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013 - 2013, Vol. 1, pp. 203-208


8. Афанасьева А.С., Буздалов М.В. Выбор функции приспособленности особей генетического алгоритма с помощью обучения с подкреплением // Научно-технический вестник информационных технологий, механики и оптики - 2012. - № 1(77). - С. 77-81


9. Nigmatullin N., Buzdalov M., Stankevich A. Efficient removal of points with smallest crowding distance in two-dimensional incremental non-dominated sorting // GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference - 2016, pp. 1121-1128


10. Arkhipov V., Buzdalov M. An asynchronous implementation of the limited memory CMA-ES: First results // Mendel - 2015, pp. 43-46


11. Buzdalov M., Doerr B. Runtime Analysis of the (1 + (lambda, lambda)) Genetic Algorithm on Random Satisfiable 3-CNF Formulas // GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion - 2017, pp. 1343-1350


12. Buzdalova A., Petrova I., Buzdalov M. Runtime Analysis of Different Approaches to Select Conflicting Auxiliary Objectives in the Generalized OneMax Problem // IEEE Symposium Series on Computational Intelligence, SSCI 2016 - 2016, pp. 280-286


13. Arkhipov V.V., Buzdalov M.V., Shalyto A.A. An asynchronous implementation of the limited memory CMA-ES // 14th International Conference on Machine Learning and Applications, ICMLA 2015 - 2015, pp. 707-712


14. Buzdalov M., Shalyto A. Worst-Case Execution Time Test Generation for Solutions of the Knapsack Problem Using a Genetic Algorithm // Communications in Computer and Information Science - 2014, Vol. 472, pp. 1-10


15. Petrova I., Buzdalova A., Buzdalov M. Selection of Extra Objectives using Reinforcement Learning in Non-Stationary Environment: Initial Explorations // Mendel - 2014, pp. 105-110


16. Buzdalova A., Buzdalov M. Adaptive Selection of Helper-Objectives with Reinforcement Learning // Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 - 2012, Vol. 2, pp. 66-67


17. Buzdalov M.V., Kever M.E., Doerr B. Upper and Lower Bounds on Unrestricted Black-Box Complexity of Jump(n,l) // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2015, Vol. 9026, pp. 209-221


18. Буздалов М.В. Генерация тестов для олимпиадных задач по теории графов с использованием эволюционных стратегий // Научно-технический вестник Санкт-Петербургского государственного университета информационных технологий, механики и оптики - 2011. - № 6(76). - С. 123-127


19. Mironovich V., Buzdalov M. Hard Test Generation for Maximum Flow Algorithms with the Fast Crossover-Based Evolutionary Algorithm // GECCO'15: Proceedings of the 2015 Genetic and Evolutionary Computation Conference - 2015, pp. 1229-1232


20. Petrova I., Buzdalova A., Buzdalov M. Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem // Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013 - 2013, Vol. 2, pp. 374-377


21. Buzdalov M., Knyazev S., Porozov Y. Protein Conformation Motion Modeling using sep-CMA-ES // Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 - 2014, pp. 35-40


22. Буздалова А.С., Буздалов М.В. Метод повышения эффективности эволюционных алгоритмов с помощью обучения с подкреплением // Научно-технический вестник информационных технологий, механики и оптики - 2012. - № 5(81). - С. 115-119


23. Buzdalova A., Buzdalov M. Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning // Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 - 2012, Vol. 1, pp. 150-155


24. Buzdalov M.V., Buzdalova A.S., Petrova I.A. Generation of tests for programming challenge tasks using multi-objective optimization // GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference - 2013, pp. 1655-1658


25. Buzdalov M., Parfenov V. Various Degrees of Steadiness in NSGA-II and Their Influence on the Quality of Results // GECCO'15: Proceedings of the 2015 Genetic and Evolutionary Computation Conference - 2015, pp. 749-750


26. Буланова Н.С., Буздалова А.С., Буздалов М.В. Гибридизация искусственных иммунных систем и эволюционных алгоритмов // СПИСОК-2016 Материалы всероссийской научной конференции по проблемам информатики (СПб, 26-29 апреля 2016г.) - 2016. - С. 262-267


27. Yakupov I., Buzdalov M. Incremental Non-Dominated Sorting with O(N) Insertion for the Two-Dimensional Case // IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings - 2015, pp. 1853-1860


28. Mironovich V., Buzdalov M. Generation of tests against a greedy algorithm for the knapsack problem using an evolutionary algorithm // Mendel - 2014, pp. 77-82


29. Buzdalov M., Shalyto A. A Provably Asymptotically Fast Version of the Generalized Jensen Algorithm for Non-Dominated Sorting // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2014, Vol. 8672, pp. 528-537


30. Buzdalova A., Kononov V., Buzdalov M. Selecting Evolutionary Operators using Reinforcement Learning: Initial Explorations // GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference - 2014, pp. 1033-1036


31. Buzdalov M., Petrova I., Buzdalova A. NSGA-II Implementation Details May Influence Quality of Solutions for the Job-Shop Scheduling Problem // GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference - 2014, pp. 1445-1446


32. Buzdalov M., Buzdalova A. OneMax helps optimizing XdivK: Theoretical runtime analysis for RLS and EA+RL // GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference - 2014, pp. 201-202


33. Afanasyeva A., Buzdalov M. Choosing Best Fitness Function with Reinforcement Learning // Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011 - 2011, Vol. 2, pp. 354-357


34. Буздалов М.В. Генерация тестов для олимпиадных задач по программированию с использованием генетических алгоритмов // Научно-технический вестник Санкт-Петербургского государственного университета информационных технологий, механики и оптики - 2011. - № 2(72). - С. 72-77


35. Mironovich V., Buzdalov M., Parfenov V. Comparative Study of Representations in the Maximum Flow Test Generation Problem // Mendel - 2016, pp. 67-72


36. Buzdalov M. Generation of tests for programming challenge tasks on graph theory using evolution strategy // Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 - 2012, Vol. 2, pp. 62-65


37. Lukin M., Buzdalov M., Shalyto A. Formal Verification of 800 Genetically Constructed Automata Programs: A Case Study // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2014, Vol. 8855, pp. 165-170


38. Buzdalov M., Buzdalova A. Adaptive selection of helper-objectives for test case generation // 2013 IEEE Congress on Evolutionary Computation, CEC 2013 - 2013, pp. 2245-2250


39. Petrova I., Buzdalova A., Buzdalov M. Improved Selection of Auxiliary Objectives using Reinforcement Learning in Non-Stationary Environment // Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 - 2014, pp. 580-583


40. Kravtsov N., Buzdalov M., Buzdalova A., Shalyto A. Worst-Case Execution Time Test Generation using Genetic Algorithms with Automated Construction and Online Selection of Objectives // Mendel - 2014, pp. 111-116


41. Buzdalova A.S., Buzdalov M.V., Parfenov V.G. Generation of tests for programming challenge tasks using helper-objectives // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2013, Vol. 8084, No. LNCS, pp. 300-305


42. Спельников Д.М., Князев С.Н., Балахонцева М.А., Буздалов М.В., Порозов Ю.Б., Маслов В.Г., Бухановский А.В. Высокопроизводительный программный комплекс моделирования конформационно-зависимых свойств белков в задачах рационального дизайна лекарственных препаратов // Динамика сложных систем - XXI век - 2013. - Т. 7. - № 3. - С. 12-16


43. Buzdalov M., Shalyto A. Hard Test Generation for Augmenting Path Maximum Flow Algorithms using Genetic Algorithms: Revisited // IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings - 2015, pp. 2121-2128


44. Buzdalov M. Generation of tests for programming challenge tasks using evolution algorithms // Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication - 2011, pp. 763-766


45. Arkhipov V., Buzdalov M., Shalyto A. Worst-Case Execution Time Test Generation for Augmenting Path Maximum Flow Algorithms using Genetic Algorithms // Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013 - 2013, Vol. 2, pp. 108-111


46. Buzdalov M. A Switch-and-Restart Algorithm with Exponential Restart Strategy for Objective Selection and its Runtime Analysis // Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 - 2014, pp. 141-146


47. Buzdalov M., Yakupov I., Stankevich A. Fast Implementation of the Steady-State NSGA-II Algorithm for Two Dimensions Based on Incremental Non-Dominated Sorting // GECCO'15: Proceedings of the 2015 Genetic and Evolutionary Computation Conference - 2015, pp. 647-654


48. Buzdalov M., Doerr B., Kever M. The Unrestricted Black-Box Complexity of Jump Functions // Evolutionary Computation - 2016, Vol. 24, No. 4, pp. 719-744


49. Mironovich V., Buzdalov M., Vyatkin V. Automatic Generation of Function Block Applications Using Evolutionary Algorithms: Initial Explorations // Proceedings of 2017 15th IEEE International Conference on Industrial Informatics (INDIN) - 2017, pp. 700-705


50. Buzdalov M. An Algorithm for Computing Lower Bounds for Unrestricted Black-Box Complexities // GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference - 2016, pp. 147-148


51. Bulanova N., Buzdalova A., Buzdalov M. Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search // GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference - 2016, pp. 5-6


52. Buzdalov M.V., Tcarev F.N. An evolutionary approach to hard test case generation for shortest common superstring problem // Proceedings - 1st BRICS Countries Congress on Computational Intelligence, BRICS-CCI 2013 - 2013, pp. 81-85


53. Buzdalova A., Buzdalov M. A New Algorithm for Adaptive Online Selection of Auxiliary Objectives // Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 - 2014, pp. 584-587