Anna V. Kononova
Orcid: 0000-0002-4138-7024
According to our database1,
Anna V. Kononova
authored at least 50 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond.
Evol. Comput., 2024
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems.
CoRR, 2024
CoRR, 2024
2023
Artif. Intell. Rev., September, 2023
Artif. Intell. Rev., June, 2023
Evol. Comput., 2023
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems.
CoRR, 2023
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
2022
IEEE Trans. Evol. Comput., 2022
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve.
CoRR, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data.
Proceedings of the 14th International Conference on Computer and Automation Engineering, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages.
CoRR, 2021
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
CoRR, 2021
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Quantifying the impact of boundary constraint handling methods on differential evolution.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2015
Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
2013
2008
Simple Scheduled Memetic Algorithm for inverse problems in higher dimensions: Application to chemical kinetics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Prudent-Daring vs Tolerant Survivor Selection Schemes in Control Design of Electric Drives.
Proceedings of the Applications of Evolutionary Computing, 2006
2005
A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems.
Proceedings of the Applications of Evolutionary Computing, 2005