Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters.

[BibT_eX]

[DOI]

André Thomaser

Marc-Eric Vogt

Thomas Bäck

Anna V. Kononova

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Challenges of ELA-Guided Function Evolution Using Genetic Programming.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Modular Differential Evolution.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Deep BIAS: Detecting Structural Bias using Explainable AI.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Madalina-Andreea Mitran

Anna V. Kononova

Fabio Caraffini

Daniela Zaharie

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve.

[BibT_eX]

[DOI]

CoRR, 2022

An Efficient Contesting Procedure for AutoML Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2022

Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computer and Automation Engineering, 2022

Using structural bias to analyse the behaviour of modular CMA-ES.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Differential evolution outside the box.

[BibT_eX]

[DOI]

Anna V. Kononova

Fabio Caraffini

Thomas Bäck

Inf. Sci., 2021

Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages.

[BibT_eX]

[DOI]

Nils van den Honert

Diederick Vermetten

Anna V. Kononova

CoRR, 2021

Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.

[BibT_eX]

[DOI]

CoRR, 2021

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Efficient AutoML via Combinational Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Is there anisotropy in structural bias?

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Emergence of structural bias in differential evolution.

[BibT_eX]

[DOI]

Bas van Stein

Fabio Caraffini

Anna V. Kononova

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.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Quantifying the impact of boundary constraint handling methods on differential evolution.

[BibT_eX]

[DOI]

Rick Boks

Anna V. Kononova

Hao Wang

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Can Compact Optimisation Algorithms Be Structurally Biased?

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Can Single Solution Optimisation Methods Be Structurally Biased?

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Infeasibility and structural bias in differential evolution.

[BibT_eX]

[DOI]

Fabio Caraffini

Anna V. Kononova

David Corne

Inf. Sci., 2019

2016

Probabilistic group dependence approach for discovering overlapping clusters.

[BibT_eX]

[DOI]

Elena Ivannikova

Anna V. Kononova

Timo Hämäläinen

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015

Structural bias in population-based algorithms.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers.

[BibT_eX]

[DOI]

Aboubakar Hameed

Anna V. Kononova

David Corne

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2013

Advances in computational intelligence (UKCI 2012).

[BibT_eX]

[DOI]

Anna V. Kononova

Philippe De Wilde

George M. Coghill

Soft Comput., 2013

2008

Simple Scheduled Memetic Algorithm for inverse problems in higher dimensions: Application to chemical kinetics.

[BibT_eX]

[DOI]

Anna V. Kononova

Derek B. Ingham

Mohamed Pourkashanian

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics.

[BibT_eX]

[DOI]

Anna V. Kononova

Kevin J. Hughes

Mohamed Pourkashanian

Derek B. Ingham

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Prudent-Daring vs Tolerant Survivor Selection Schemes in Control Design of Electric Drives.

[BibT_eX]

[DOI]

Ferrante Neri

Giuseppe Leonardo Cascella

Nadia Salvatore

Anna V. Kononova

Giuseppe Acciani

Proceedings of the Applications of Evolutionary Computing, 2006

2005

A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems.

[BibT_eX]

[DOI]

Ferrante Neri

Anna V. Kononova

Giuseppe Delvecchio

Marcello Sylos Labini

Alexey V. Uglanov

Proceedings of the Applications of Evolutionary Computing, 2005

Anna V. Kononova

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