Denis Antipov - RankMe

55 papers A* 1A 15B 2Journal 24Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Enhancing Parameter Control Policies with State Information. FOGA Gianluca Covini, Denis Antipov, Carola Doerr
2025	J	`jnl`	Enhancing Parameter Control Policies with State Information. CoRR Gianluca Covini, Denis Antipov, Carola Doerr
2025	A*	`conf`	Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It. IJCAI Denis Antipov, Benjamin Doerr
2025	—	`conf`	Feature-Based Evolutionary Diversity Optimization of Discriminating Instances for Chance-Constrained Optimization Problems. EvoCOP@EvoStar Saba Sadeghi Ahouei, Denis Antipov, Aneta Neumann, Frank Neumann
2025	J	`jnl`	Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems. CoRR Saba Sadeghi Ahouei, Denis Antipov, Aneta Neumann, Frank Neumann
2025	J	`jnl`	First Steps Toward a Runtime Analysis When Starting With a Good Solution. ACM Trans. Evol. Learn. Optim. Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2025	—	`conf`	Hot off the Press: First Steps Towards a Runtime Analysis When Starting With a Good Solution. GECCO Companion Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2024	A	`conf`	A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax. GECCO Denis Antipov, Aneta Neumann, Frank Neumann
2024	A	`conf`	Already Moderate Population Sizes Provably Yield Strong Robustness to Noise. GECCO Denis Antipov, Benjamin Doerr, Alexandra Ivanova
2024	J	`jnl`	Already Moderate Population Sizes Provably Yield Strong Robustness to Noise. CoRR Denis Antipov, Benjamin Doerr, Alexandra Ivanova
2024	A	`conf`	Effective 2- and 3-Objective MOEA/D Approaches for the Chance Constrained Knapsack Problem. GECCO Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
2024	J	`jnl`	Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It. CoRR Denis Antipov, Benjamin Doerr
2024	—	`conf`	Greedy Versus Curious Parent Selection for Multi-objective Evolutionary Algorithms. PPSN (3) Denis Antipov, Timo Kötzing, Aishwarya Radhakrishnan
2024	J	`jnl`	Lazy Parameter Tuning and Control: Choosing All Parameters Randomly from a Power-Law Distribution. Algorithmica Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2024	—	`conf`	Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential. PPSN (3) Denis Antipov, Aneta Neumann, Frank Neumann
2024	J	`jnl`	Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential. CoRR Denis Antipov, Aneta Neumann, Frank Neumann
2024	—	`conf`	Runtime Analysis of Evolutionary Diversity Optimization on a Tri-Objective Version of the (LeadingOnes, TrailingZeros) Problem. PPSN (3) Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton
2024	J	`jnl`	Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem. CoRR Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton
2024	A	`conf`	Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. GECCO Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
2024	J	`jnl`	Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. CoRR Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
2023	J	`jnl`	Larger Offspring Populations Help the (1 + (λ, λ)) Genetic Algorithm to Overcome the Noise. CoRR Alexandra Ivanova, Denis Antipov, Benjamin Doerr
2023	A	`conf`	Larger Offspring Populations Help the (1 + (λ, λlambda)) Genetic Algorithm to Overcome the Noise. GECCO Alexandra Ivanova, Denis Antipov, Benjamin Doerr
2023	A	`conf`	Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax. FOGA Denis Antipov, Aneta Neumann, Frank Neumann
2023	J	`jnl`	Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax. CoRR Denis Antipov, Aneta Neumann, Frank Neumann
2022	J	`jnl`	A Rigorous Runtime Analysis of the (1 + (λ , λ )) GA on Jump Functions. Algorithmica Denis Antipov, Benjamin Doerr, Vitalii Karavaev
2022	J	`jnl`	Coevolutionary Pareto Diversity Optimization. CoRR Aneta Neumann, Denis Antipov, Frank Neumann
2022	A	`conf`	Coevolutionary Pareto diversity optimization. GECCO Aneta Neumann, Denis Antipov, Frank Neumann
2022	J	`jnl`	Fast Mutation in Crossover-Based Algorithms. Algorithmica Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2022	—	`conf`	Precise runtime analysis for plateau functions: (hot-off-the-press track at GECCO 2022). GECCO Companion Denis Antipov, Benjamin Doerr
2021	J	`jnl`	A Tight Runtime Analysis for the (μ + λ ) EA. Algorithmica Denis Antipov, Benjamin Doerr
2021	J	`jnl`	Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution. CoRR Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2021	A	`conf`	Lazy parameter tuning and control: choosing all parameters randomly from a power-law distribution. GECCO Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2021	J	`jnl`	Precise Runtime Analysis for Plateau Functions. ACM Trans. Evol. Learn. Optim. Denis Antipov, Benjamin Doerr
2021	A	`conf`	The effect of non-symmetric fitness: the analysis of crossover-based algorithms on RealJump functions. FOGA Denis Antipov, Semen Naumov
2021	—	`conf`	The lower bounds on the runtime of the (1 + (λ, λ)) GA on the minimum spanning tree problem. GECCO Companion Matvey Shnytkin, Denis Antipov
2020	J	`jnl`	Fast Mutation in Crossover-based Algorithms. CoRR Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2020	A	`conf`	Fast mutation in crossover-based algorithms. GECCO Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2020	J	`jnl`	First Steps Towards a Runtime Analysis When Starting With a Good Solution. CoRR Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2020	—	`conf`	First Steps Towards a Runtime Analysis When Starting with a Good Solution. PPSN (2) Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2020	—	`—`	Methods for Tight Analysis of Population-based Evolutionary Algorithms. (Méthodes d'analyse précise des algorithmes évolutifs basés sur la population / Методы точного анализа популяционных эволюционных алгоритмов). Denis Antipov
2020	—	`conf`	Runtime Analysis of a Heavy-Tailed (1+(λ , λ )) Genetic Algorithm on Jump Functions. PPSN (2) Denis Antipov, Benjamin Doerr
2020	J	`jnl`	Runtime Analysis of a Heavy-Tailed (1+(λ, λ)) Genetic Algorithm on Jump Functions. CoRR Denis Antipov, Benjamin Doerr
2020	A	`conf`	The (1 + ( GECCO Denis Antipov, Benjamin Doerr, Vitalii Karavaev
2020	J	`jnl`	The (1 + (λ, λ)) GA Is Even Faster on Multimodal Problems. CoRR Denis Antipov, Benjamin Doerr, Vitalii Karavaev
2019	A	`conf`	A tight runtime analysis for the (1 + (λ, λ)) GA on leadingones. FOGA Denis Antipov, Benjamin Doerr, Vitalii Karavaev
2019	J	`jnl`	The Efficiency Threshold for the Offspring Population Size of the (μ, λ) EA. CoRR Denis Antipov, Benjamin Doerr, Quentin Yang
2019	A	`conf`	The efficiency threshold for the offspring population size of the ( GECCO Denis Antipov, Benjamin Doerr, Quentin Yang
2019	—	`conf`	Theoretical and empirical study of the (1 + (λ, λ)) EA on the leadingones problem. GECCO (Companion) Vitalii Karavaev, Denis Antipov, Benjamin Doerr
2018	J	`jnl`	A Tight Runtime Analysis for the (μ+ λ) EA. CoRR Denis Antipov, Benjamin Doerr
2018	A	`conf`	A tight runtime analysis for the (μ + λ) EA. GECCO Denis Antipov, Benjamin Doerr, Jiefeng Fang, Tangi Hetet
2018	—	`conf`	Precise Runtime Analysis for Plateaus. PPSN (2) Denis Antipov, Benjamin Doerr
2018	J	`jnl`	Precise Runtime Analysis for Plateaus. CoRR Denis Antipov, Benjamin Doerr
2018	—	`conf`	Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learning. GECCO (Companion) Denis Antipov, Arina Buzdalova, Andrew Stankevich
2017	B	`conf`	Runtime Analysis of Random Local Search on JUMP function with Reinforcement Based Selection of Auxiliary Objectives. CEC Denis Antipov, Arina Buzdalova
2015	B	`conf`	Runtime Analysis of (1+1) Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on OneMax+ZeroMax Problem. EvoCOP Denis Antipov, Maxim Buzdalov, Benjamin Doerr