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Maxim Buzdalov
Maxim Buzdalov
在 aber.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
672012
Runtime analysis of the (1 + (λ, λ)) genetic algorithm on random satisfiable 3-CNF formulas
M Buzdalov, B Doerr
Proceedings of the Genetic and Evolutionary Computation Conference, 1343-1350, 2017
592017
A provably asymptotically fast version of the generalized Jensen algorithm for non-dominated sorting
M Buzdalov, A Shalyto
Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014
552014
Fast mutation in crossover-based algorithms
D Antipov, M Buzdalov, B Doerr
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
512020
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
332013
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
332013
OneMax Helps Optimizing XdivK: Theoretical Runtime Analysis for RLS and EA+RL
M Buzdalov, A Buzdalova
Proceedings of the 2014 conference companion on Genetic and evolutionary …, 2014
322014
Lazy parameter tuning and control: choosing all parameters randomly from a power-law distribution
D Antipov, M Buzdalov, B Doerr
Proceedings of the Genetic and Evolutionary Computation Conference, 1115-1123, 2021
312021
Adaptive selection of helper-objectives for test case generation
M Buzdalov, A Buzdalova
2013 IEEE Congress on Evolutionary Computation, 2245-2250, 2013
312013
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
262013
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
212014
Генерация тестов для олимпиадных задач по программированию с использованием генетических алгоритмов
МВ Буздалов
Научно-технический вестник информационных технологий, механики и оптики, 72-77, 2011
212011
First steps towards a runtime analysis when starting with a good solution
D Antipov, M Buzdalov, B Doerr
International Conference on Parallel Problem Solving from Nature, 560-573, 2020
202020
The unrestricted black-box complexity of jump functions
M Buzdalov, B Doerr, M Kever
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
192017
Choosing best fitness function with reinforcement learning
A Afanasyeva, M Buzdalov
2011 10th International Conference on Machine Learning and Applications and …, 2011
182011
Generation of tests for programming challenge tasks using evolution algorithms
M Buzdalov
Proceedings of the 13th annual conference companion on Genetic and …, 2011
182011
Fixed-target runtime analysis
M Buzdalov, B Doerr, C Doerr, D Vinokurov
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
172020
Evaluation of heavy-tailed mutation operator on maximum flow test generation problem
V Mironovich, M Buzdalov
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
172017
Fast implementation of the steady-state NSGA-II algorithm for two dimensions based on incremental non-dominated sorting
M Buzdalov, I Yakupov, A Stankevich
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
172015
A Switch-and-Restart Algorithm with Exponential Restart Strategy for Objective Selection and its Runtime Analysis
M Buzdalov
2014 13th International Conference on Machine Learning and Applications, 141-146, 2014
162014
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