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- Arina Buzdalova
aka: Arina Afanasyeva
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Publication search results
found 37 matches
- 2022
- Nina Bulanova, Arina Buzdalova, Carola Doerr:
Fast Re-Optimization of LeadingOnes with Frequent Changes. CEC 2022: 1-8 - Nina Bulanova, Arina Buzdalova, Carola Doerr:
Fast Re-Optimization of LeadingOnes with Frequent Changes. CoRR abs/2209.04391 (2022) - 2021
- Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr:
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. CEC 2021: 878-885 - Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr:
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. CoRR abs/2102.11461 (2021) - 2020
- Arina Buzdalova, Carola Doerr, Anna Rodionova:
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm. PPSN (2) 2020: 485-499 - Arina Buzdalova, Carola Doerr, Anna Rodionova:
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm. CoRR abs/2006.11026 (2020) - 2019
- Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, Carola Doerr:
Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper. GECCO (Companion) 2019: 1807-1812 - Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr:
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates. GECCO 2019: 855-863 - Dmitry Vinokurov, Maxim Buzdalov, Arina Buzdalova, Benjamin Doerr, Carola Doerr:
Fixed-target runtime analysis of the (1 + 1) EA with resampling. GECCO (Companion) 2019: 2068-2071 - Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr:
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates. CoRR abs/1904.08032 (2019) - 2018
- Denis Antipov, Arina Buzdalova, Andrew Stankevich:
Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learning. GECCO (Companion) 2018: 1886-1889 - 2017
- Denis Antipov, Arina Buzdalova:
Runtime Analysis of Random Local Search on JUMP function with Reinforcement Based Selection of Auxiliary Objectives. CEC 2017: 2169-2176 - Anton O. Bassin, Arina Buzdalova:
Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier. EvoCOP 2017: 173-188 - Irina Petrova, Arina Buzdalova:
Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution. GECCO (Companion) 2017: 1435-1438 - Irina Petrova, Arina Buzdalova:
Reinforcement Learning Based Dynamic Selection of Auxiliary Objectives with Preserving of the Best Found Solution. CoRR abs/1704.07187 (2017) - 2016
- Nina Bulanova, Arina Buzdalova, Maxim Buzdalov:
Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search. GECCO (Companion) 2016: 5-6 - Arkady Rost, Irina Petrova, Arina Buzdalova:
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range. GECCO (Companion) 2016: 141-142 - Arina Buzdalova, Irina Petrova, Maxim Buzdalov:
Runtime analysis of different Approaches to select conflicting auxiliary objectives in the generalized OneMax problem. SSCI 2016: 1-7 - Arkady Rost, Irina Petrova, Arina Buzdalova:
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range. CoRR abs/1603.06788 (2016) - 2015
- Arina Afanasyeva, Sergey Izmailov, Michel Grigoriev, Michael Petukhov:
AquaBridge: A novel method for systematic search of structural water molecules within the protein active sites. J. Comput. Chem. 36(26): 1973-1977 (2015) - Maxim Buzdalov, Arina Buzdalova:
Analysis of Q-learning with random exploration for selection of auxiliary objectives in random local search. CEC 2015: 1776-1783 - Maxim Buzdalov, Arina Buzdalova:
Can OneMax help optimizing LeadingOnes using the EA+RL method? CEC 2015: 1762-1768 - Arina Buzdalova, Anna Matveeva, Georgiy Korneev:
Selection of Auxiliary Objectives with Multi-Objective Reinforcement Learning. GECCO (Companion) 2015: 1177-1180 - Irina Petrova, Arina Buzdalova:
Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement Learning. GECCO (Companion) 2015: 1455-1456 - 2014
- Maxim Buzdalov, Arina Buzdalova:
Onemax helps optimizing XdivK: : theoretical runtime analysis for RLS and EA+RL. GECCO (Companion) 2014: 201-202 - Maxim Buzdalov, Irina Petrova, Arina Buzdalova:
NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problem. GECCO (Companion) 2014: 1445-1446 - Arina Buzdalova, Vladislav Kononov, Maxim Buzdalov:
Selecting evolutionary operators using reinforcement learning: initial explorations. GECCO (Companion) 2014: 1033-1036 - Arina Buzdalova, Maxim Buzdalov:
A New Algorithm for Adaptive Online Selection of Auxiliary Objectives. ICMLA 2014: 584-587 - Irina Petrova, Arina Buzdalova, Maxim Buzdalov:
Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment. ICMLA 2014: 580-583 - 2013
- Maxim Buzdalov, Arina Buzdalova:
Adaptive selection of helper-objectives for test case generation. IEEE Congress on Evolutionary Computation 2013: 2245-2250
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