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Antipov, Denis
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1

Using 3-Objective Evolutionary Algorithms for the Dynamic C..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Hewa Pathiranage, Ishara ; Neumann, Frank ; Antipov, Denis. - p. 520-528 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Effective 2- and 3-Objective MOEA/D Approaches for the Chan..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Hewa Pathiranage, Ishara ; Neumann, Frank ; Antipov, Denis. - p. 187-195 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Already Moderate Population Sizes Provably Yield Strong Rob..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Antipov, Denis ; Doerr, Benjamin ; Ivanova, Alexandra - p. 1524-1532 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

A Detailed Experimental Analysis of Evolutionary Diversity ..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Antipov, Denis ; Neumann, Aneta ; Neumann, Frank - p. 467-475 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

First Steps Towards a Runtime Analysis When Starting With a..:

Antipov, Denis ; Buzdalov, Maxim ; Doerr, Benjamin
ACM Transactions on Evolutionary Learning and Optimization.  , 2024
Link: https://doi.org/10.1145/..
 
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6

Larger Offspring Populations Help the (1 + (λ, λ)) Genetic ..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Ivanova, Alexandra ; Antipov, Denis ; Doerr, Benjamin - p. 919-928 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Lazy Parameter Tuning and Control: Choosing All Parameters ..:

Antipov, Denis ; Buzdalov, Maxim ; Doerr, Benjamin
Algorithmica.  86 (2023)  2 - p. 442-484 , 2023
Link: https://doi.org/10.1007/..
 
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8

Rigorous Runtime Analysis of Diversity Optimization with GS..:

, In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms,
Antipov, Denis ; Neumann, Aneta ; Neumann, Frank - p. 3-14 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

A Rigorous Runtime Analysis of the $$(1 + (\lambda , \lambd..:

Antipov, Denis ; Doerr, Benjamin ; Karavaev, Vitalii
Algorithmica.  84 (2022)  6 - p. 1573-1602 , 2022
Link: https://doi.org/10.1007/..
 
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10

Precise runtime analysis for plateau functions : (hot-of..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Antipov, Denis ; Doerr, Benjamin - p. 13-14 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Coevolutionary Pareto diversity optimization:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Neumann, Aneta ; Antipov, Denis ; Neumann, Frank - p. 832-839 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

Fast Mutation in Crossover-Based Algorithms:

Antipov, Denis ; Buzdalov, Maxim ; Doerr, Benjamin
Algorithmica.  84 (2022)  6 - p. 1724-1761 , 2022
Link: https://doi.org/10.1007/..
 
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13

The effect of non-symmetric fitness : the analysis of cr..:

, In: Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms,
Antipov, Denis ; Naumov, Semen - p. 1-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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14

Precise Runtime Analysis for Plateau Functions:

Antipov, Denis ; Doerr, Benjamin
ACM Transactions on Evolutionary Learning and Optimization.  1 (2021)  4 - p. 1-28 , 2021
Link: https://doi.org/10.1145/..
 
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15

Lazy parameter tuning and control : choosing all paramet..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Antipov, Denis ; Buzdalov, Maxim ; Doerr, Benjamin - p. 1115-1123 , 2021
Link: https://dl.acm.org/doi/1..
 
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