Increasing efficiency of evolutionary algorithms by choosing between auxiliary fitness functions with reinforcement learning A Buzdalova, M Buzdalov 2012 11th International Conference on Machine Learning and Applications 1 …, 2012 | 67 | 2012 |
A first step towards the runtime analysis of evolutionary algorithm adjusted with reinforcement learning M Buzdalov, A Buzdalova, A Shalyto 2013 12th International Conference on Machine Learning and Applications 1 …, 2013 | 33 | 2013 |
Generation of tests for programming challenge tasks using helper-objectives A Buzdalova, M Buzdalov, V Parfenov Search Based Software Engineering: 5th International Symposium, SSBSE 2013 …, 2013 | 33 | 2013 |
OneMax helps optimizing XdivK: Theoretical runtime analysis for RLS and EA+ RL M Buzdalov, A Buzdalova Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014 | 32 | 2014 |
Adaptive selection of helper-objectives for test case generation M Buzdalov, A Buzdalova 2013 IEEE Congress on Evolutionary Computation, 2245-2250, 2013 | 31 | 2013 |
Generation of tests for programming challenge tasks using multi-objective optimization M Buzdalov, A Buzdalova, I Petrova Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 26 | 2013 |
Selecting evolutionary operators using reinforcement learning: Initial explorations A Buzdalova, V Kononov, M Buzdalov Proceedings of the companion publication of the 2014 annual conference on …, 2014 | 21 | 2014 |
Choosing best fitness function with reinforcement learning A Afanasyeva, M Buzdalov 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 18 | 2011 |
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates A Rodionova, K Antonov, A Buzdalova, C Doerr Proceedings of the Genetic and Evolutionary Computation Conference, 855-863, 2019 | 15 | 2019 |
Adaptive parameter selection in evolutionary algorithms by reinforcement learning with dynamic discretization of parameter range A Rost, I Petrova, A Buzdalova Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 15 | 2016 |
Adaptive selection of helper-objectives with reinforcement learning A Buzdalova, M Buzdalov 2012 11th International Conference on Machine Learning and Applications 2, 66-67, 2012 | 12 | 2012 |
Optimization with auxiliary criteria using evolutionary algorithms and reinforcement learning A Afanasyeva, M Buzdalov Proceedings of 18th International Conference on Soft Computing MENDEL 2012 …, 2012 | 12 | 2012 |
Improved selection of auxiliary objectives using reinforcement learning in non-stationary environment I Petrova, A Buzdalova, M Buzdalov 2014 13th International Conference on Machine Learning and Applications, 580-583, 2014 | 9 | 2014 |
Improved helper-objective optimization strategy for job-shop scheduling problem I Petrova, A Buzdalova, M Buzdalov 2013 12th International Conference on Machine Learning and Applications 2 …, 2013 | 9 | 2013 |
Can OneMax help optimizing LeadingOnes using the EA+ RL method? M Buzdalov, A Buzdalova 2015 IEEE Congress on Evolutionary Computation (CEC), 1762-1768, 2015 | 8 | 2015 |
Метод повышения эффективности эволюционных алгоритмов с помощью обучения с подкреплением АС Буздалова, МВ Буздалов Научно-технический вестник информационных технологий, механики и оптики, 115-119, 2012 | 7 | 2012 |
Fixed-target runtime analysis of the (1+ 1) EA with resampling D Vinokurov, M Buzdalov, A Buzdalova, B Doerr, C Doerr Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 6 | 2019 |
Efficiency increasing method of the evolutionary algorithms by reinforcement learning S Buzdalova Arina, MV Buzdalov Journal Scientific and Technical Of Information Technologies, Mechanics and …, 2012 | 5 | 2012 |
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms K Antonov, M Buzdalov, A Buzdalova, C Doerr 2021 IEEE Congress on Evolutionary Computation (CEC), 878-885, 2021 | 4 | 2021 |
Selection of auxiliary objectives with multi-objective reinforcement learning A Buzdalova, A Matveeva, G Korneev Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 4 | 2015 |