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Denis Antipov
Denis Antipov
Verified email at corp.ifmo.ru
Title
Cited by
Cited by
Year
Fast mutation in crossover-based algorithms
D Antipov, M Buzdalov, B Doerr
Algorithmica, 1-38, 2022
282022
Runtime Analysis of a Heavy-Tailed Genetic Algorithm on Jump Functions
D Antipov, B Doerr
International Conference on Parallel Problem Solving from Nature, 545-559, 2020
242020
The (1 + (λ,λ)) GA is even faster on multimodal problems
D Antipov, B Doerr, V Karavaev
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
232020
Runtime analysis for the (μ+ λ) EA optimizing OneMax
D Antipov, B Doerr, J Fang, T Hetet
Genetic and Evolutionary Computation Conference, GECCO, 1459-1466, 2018
222018
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
192020
The efficiency threshold for the offspring population size of the (µ, λ) EA
D Antipov, B Doerr, Q Yang
Proceedings of the Genetic and Evolutionary Computation Conference, 1461-1469, 2019
172019
A tight runtime analysis for the (1+(λ, λ)) GA on LeadingOnes
D Antipov, B Doerr, V Karavaev
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic …, 2019
152019
Precise runtime analysis for plateaus
D Antipov, B Doerr
International Conference on Parallel Problem Solving from Nature, 117-128, 2018
152018
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
142021
A Tight Runtime Analysis for the ( μ + λ )  EA
D Antipov, B Doerr
Algorithmica 83 (4), 1054-1095, 2021
112021
Theoretical and empirical study of the (1+(λ, λ)) EA on the LeadingOnes problem
V Karavaev, D Antipov, B Doerr
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
52019
Precise runtime analysis for plateau functions
D Antipov, B Doerr
ACM Transactions on Evolutionary Learning and Optimization 1 (4), 1-28, 2021
42021
Runtime Analysis of Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on OneMax+ZeroMax Problem
D Antipov, M Buzdalov, B Doerr
European Conference on Evolutionary Computation in Combinatorial …, 2015
42015
A Rigorous Runtime Analysis of the ( 1 + ( λ , λ ) ) GA on Jump Functions
D Antipov, B Doerr, V Karavaev
Algorithmica, 1-30, 2022
32022
Efficient computation of fitness function for evolutionary clustering
S Muravyov, D Antipov, A Buzdalova, A Filchenkov
Mendel 25 (1), 87-94, 2019
22019
Coevolutionary Pareto Diversity Optimization
A Neumann, D Antipov, F Neumann
arXiv preprint arXiv:2204.05457, 2022
12022
The effect of non-symmetric fitness: the analysis of crossover-based algorithms on RealJump functions
D Antipov, S Naumov
Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic …, 2021
12021
Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learning
D Antipov, A Buzdalova, A Stankevich
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
12018
Precise runtime analysis for plateau functions: (hot-off-the-press track at GECCO 2022)
D Antipov, B Doerr
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
2022
The lower bounds on the runtime of the (1+(λ, λ)) GA on the minimum spanning tree problem
M Shnytkin, D Antipov
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
2021
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