Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates. - Anna Rodionova; Kirill Antonov; Arina Buzdalova; Carola Doerr (GECCO, 2019)

Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. - Kirill Antonov; Maxim Buzdalov 001; Arina Buzdalova; Carola Doerr (CEC, 2021)

On Some Variants of the Merging Variables Based (1+1)-Evolutionary Algorithm with Application to MaxSAT Problem. - Alexander A. Semenov; Ilya V. Otpuschennikov; Kirill Antonov (MOTOR, 2021)

Using Linearizing Sets to Solve Multivariate Quadratic Equations in Algebraic Cryptanalysis. - Alexander A. Semenov; Kirill Antonov; Stepan Kochemazov; Artem Pavlenko (IEEE Access, 2023)

Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. - Kirill Antonov; Anna V. Kononova; Thomas Bäck; Niki van Stein (CoRR, 2023)

A Functional Analysis Approach to Symbolic Regression. - Kirill Antonov; Roman Kalkreuth; Kaifeng Yang; Thomas Bäck; Niki van Stein; Anna V. Kononova (GECCO, 2024)