Arina Buzdalova

35 papers A 1B 8C 2Journal 6Unranked 18
YearRankTypeTitle / Venue / Authors
2022 B conf
Fast Re-Optimization of LeadingOnes with Frequent Changes.
CEC
Nina Bulanova, Arina Buzdalova, Carola Doerr
2022 J jnl
Fast Re-Optimization of LeadingOnes with Frequent Changes.
CoRR
Nina Bulanova, Arina Buzdalova, Carola Doerr
2021 B conf
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms.
CEC
Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr
2021 J jnl
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms.
CoRR
Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr
2020 — conf
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm.
PPSN (2)
Arina Buzdalova, Carola Doerr, Anna Rodionova
2020 J jnl
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm.
CoRR
Arina Buzdalova, Carola Doerr, Anna Rodionova
2019 — conf
Fixed-target runtime analysis of the (1 + 1) EA with resampling.
GECCO (Companion)
Dmitry Vinokurov, Maxim Buzdalov, Arina Buzdalova, Benjamin Doerr, Carola Doerr
2019 — conf
Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper.
GECCO (Companion)
Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, Carola Doerr
2019 J jnl
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates.
CoRR
Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr
2019 A conf
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates.
GECCO
Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola 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 J jnl
Reinforcement Learning Based Dynamic Selection of Auxiliary Objectives with Preserving of the Best Found Solution.
CoRR
Irina Petrova, Arina Buzdalova
2017 — conf
Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution.
GECCO (Companion)
Irina Petrova, Arina Buzdalova
2017 B conf
Runtime Analysis of Random Local Search on JUMP function with Reinforcement Based Selection of Auxiliary Objectives.
CEC
Denis Antipov, Arina Buzdalova
2017 B conf
Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier.
EvoCOP
Anton O. Bassin, Arina Buzdalova
2016 — conf
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range.
GECCO (Companion)
Arkady Rost, Irina Petrova, Arina Buzdalova
2016 J jnl
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range.
CoRR
Arkady Rost, Irina Petrova, Arina Buzdalova
2016 — conf
Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search.
GECCO (Companion)
Nina Bulanova, Arina Buzdalova, Maxim Buzdalov
2016 — conf
Runtime analysis of different Approaches to select conflicting auxiliary objectives in the generalized OneMax problem.
SSCI
Arina Buzdalova, Irina Petrova, Maxim Buzdalov
2015 B conf
Analysis of Q-learning with random exploration for selection of auxiliary objectives in random local search.
CEC
Maxim Buzdalov, Arina Buzdalova
2015 B conf
Can OneMax help optimizing LeadingOnes using the EA+RL method?
CEC
Maxim Buzdalov, Arina Buzdalova
2015 — conf
Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement Learning.
GECCO (Companion)
Irina Petrova, Arina Buzdalova
2015 — conf
Selection of Auxiliary Objectives with Multi-Objective Reinforcement Learning.
GECCO (Companion)
Arina Buzdalova, Anna Matveeva, Georgiy Korneev
2014 C conf
A New Algorithm for Adaptive Online Selection of Auxiliary Objectives.
ICMLA
Arina Buzdalova, Maxim Buzdalov
2014 C conf
Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment.
ICMLA
Irina Petrova, Arina Buzdalova, Maxim Buzdalov
2014 — conf
NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problem.
GECCO (Companion)
Maxim Buzdalov, Irina Petrova, Arina Buzdalova
2014 — conf
Onemax helps optimizing XdivK: : theoretical runtime analysis for RLS and EA+RL.
GECCO (Companion)
Maxim Buzdalov, Arina Buzdalova
2014 — conf
Selecting evolutionary operators using reinforcement learning: initial explorations.
GECCO (Companion)
Arina Buzdalova, Vladislav Kononov, Maxim Buzdalov
2013 — conf
A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning.
ICMLA (1)
Maxim Buzdalov, Arina Buzdalova, Anatoly Shalyto
2013 B conf
Adaptive selection of helper-objectives for test case generation.
IEEE Congress on Evolutionary Computation
Maxim Buzdalov, Arina Buzdalova
2013 B conf
Generation of Tests for Programming Challenge Tasks Using Helper-Objectives.
SSBSE
Arina Buzdalova, Maxim Buzdalov, Vladimir Parfenov
2013 — conf
Generation of tests for programming challenge tasks using multi-objective optimization.
GECCO (Companion)
Maxim Buzdalov, Arina Buzdalova, Irina Petrova
2013 — conf
Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem.
ICMLA (2)
Irina Petrova, Arina Buzdalova, Maxim Buzdalov
2012 — conf
Adaptive Selection of Helper-Objectives with Reinforcement Learning.
ICMLA (2)
Arina Buzdalova, Maxim Buzdalov
2012 — conf
Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning.
ICMLA (1)
Arina Buzdalova, Maxim Buzdalov