Arina Buzdalova

Orcid: 0000-0002-0438-0106

According to our database1, Arina Buzdalova authored at least 33 papers between 2011 and 2024.

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Bibliography

2024
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.
J. Chem. Inf. Model., 2024

2022
Fast Re-Optimization of LeadingOnes with Frequent Changes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019
Fixed-target runtime analysis of the (1 + 1) EA with resampling.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Reinforcement Learning Based Dynamic Selection of Auxiliary Objectives with Preserving of the Best Found Solution.
CoRR, 2017

Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

Runtime Analysis of Random Local Search on JUMP function with Reinforcement Based Selection of Auxiliary Objectives.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Runtime analysis of different Approaches to select conflicting auxiliary objectives in the generalized OneMax problem.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
AquaBridge: A novel method for systematic search of structural water molecules within the protein active sites.
J. Comput. Chem., 2015

Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Selection of Auxiliary Objectives with Multi-Objective Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Can OneMax help optimizing LeadingOnes using the EA+RL method?
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Analysis of Q-learning with random exploration for selection of auxiliary objectives in random local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

A New Algorithm for Adaptive Online Selection of Auxiliary Objectives.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Selecting evolutionary operators using reinforcement learning: initial explorations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Onemax helps optimizing XdivK: : theoretical runtime analysis for RLS and EA+RL.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Generation of Tests for Programming Challenge Tasks Using Helper-Objectives.
Proceedings of the Search Based Software Engineering - 5th International Symposium, 2013

Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Generation of tests for programming challenge tasks using multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Adaptive selection of helper-objectives for test case generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Adaptive Selection of Helper-Objectives with Reinforcement Learning.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Choosing Best Fitness Function with Reinforcement Learning.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011


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