A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems. - Ferrante Neri; Anna V. Kononova; Giuseppe Delvecchio; Marcello Sylos Labini; Alexey V. Uglanov (EvoWorkshops, 2005)

Prudent-Daring vs Tolerant Survivor Selection Schemes in Control Design of Electric Drives. - Ferrante Neri; Giuseppe Leonardo Cascella; Nadia Salvatore; Anna V. Kononova; Giuseppe Acciani (EvoWorkshops, 2006)

Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics. - Anna V. Kononova; Kevin J. Hughes; Mohamed Pourkashanian; Derek B. Ingham (IEEE Congress on Evolutionary Computation, 2007)

Simple Scheduled Memetic Algorithm for inverse problems in higher dimensions: Application to chemical kinetics. - Anna V. Kononova; Derek B. Ingham; Mohamed Pourkashanian (IEEE Congress on Evolutionary Computation, 2008)

Advances in computational intelligence (UKCI 2012). - Anna V. Kononova; Philippe De Wilde; George M. Coghill (Soft Comput., 2013)

Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers. - Aboubakar Hameed; Anna V. Kononova; David Corne (SSCI, 2015)

Structural bias in population-based algorithms. - Anna V. Kononova; David W. Corne; Philippe De Wilde; Vsevolod Shneer; Fabio Caraffini (Inf. Sci., 2015)

Probabilistic group dependence approach for discovering overlapping clusters. - Elena Ivannikova; Anna V. Kononova; Timo Hämäläinen 002 (MLSP, 2016)

Infeasibility and structural bias in differential evolution. - Fabio Caraffini; Anna V. Kononova; David Corne (Inf. Sci., 2019)

Can Single Solution Optimisation Methods Be Structurally Biased? - Anna V. Kononova; Fabio Caraffini; Hao Wang 025; Thomas Bäck (CEC, 2020)

Can Compact Optimisation Algorithms Be Structurally Biased? - Anna V. Kononova; Fabio Caraffini; Hao Wang 025; Thomas Bäck (PPSN (1), 2020)

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. - Duc Anh Nguyen; Jiawen Kong; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Anna V. Kononova; Thomas Bäck (DSAA, 2021)

Quantifying the impact of boundary constraint handling methods on differential evolution. - Rick Boks; Anna V. Kononova; Hao Wang 025 (GECCO Companion, 2021)

Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge. - Anna V. Kononova; Ofer M. Shir; Teus Tukker; Pierluigi Frisco; Shutong Zeng; Thomas Bäck (GECCO Companion, 2021)

Emergence of structural bias in differential evolution. - Bas van Stein; Fabio Caraffini; Anna V. Kononova (GECCO Companion, 2021)

Is there anisotropy in structural bias? - Diederick Vermetten; Anna V. Kononova; Fabio Caraffini; Hao Wang 025; Thomas Bäck (GECCO Companion, 2021)

Efficient AutoML via Combinational Sampling. - Duc Anh Nguyen; Anna V. Kononova; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (SSCI, 2021)

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images. - Koen Ponse; Anna V. Kononova; Maria Loleyt; Bas van Stein (SSCI, 2021)

Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches. - Annie Wong; Thomas Bäck; Anna V. Kononova; Aske Plaat (CoRR, 2021)

Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages. - Nils van den Honert; Diederick Vermetten; Anna V. Kononova (CoRR, 2021)

Differential evolution outside the box. - Anna V. Kononova; Fabio Caraffini; Thomas Bäck (Inf. Sci., 2021)

One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis. - André Thomaser; Anna V. Kononova; Marc-Eric Vogt; Thomas Bäck (GECCO Companion, 2022)

Using structural bias to analyse the behaviour of modular CMA-ES. - Diederick Vermetten; Fabio Caraffini; Bas van Stein; Anna V. Kononova (GECCO Companion, 2022)

Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data. - Fan Yang 033; Marios Kefalas; Milan Koch; Anna V. Kononova; Yanan Qiao; Thomas Bäck (ICCAE, 2022)

Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. - Qi Huang; Roy de Winter; Bas van Stein; Thomas Bäck; Anna V. Kononova (SSCI, 2022)

An Efficient Contesting Procedure for AutoML Optimization. - Duc Anh Nguyen; Anna V. Kononova; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (IEEE Access, 2022)

Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve. - Jacob de Nobel; Anna V. Kononova; Jeroen J. Briaire; Johan H. M. Frijns; Thomas Bäck (CoRR, 2022)

BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. - Diederick Vermetten; Bas van Stein; Fabio Caraffini; Leandro L. Minku; Anna V. Kononova (IEEE Trans. Evol. Comput., 2022)

Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. - André Thomaser; Marc-Eric Vogt; Anna V. Kononova; Thomas Bäck (EMO, 2023)

BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances. - Fu Xing Long; Diederick Vermetten; Bas van Stein; Anna V. Kononova (EvoApplications@EvoStar, 2023)

Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. - Kirill A. Antonov; Anna V. Kononova; Thomas Bäck; Niki van Stein (FOGA, 2023)

Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. - Madalina-Andreea Mitran; Anna V. Kononova; Fabio Caraffini; Daniela Zaharie (GECCO Companion, 2023)

Deep BIAS: Detecting Structural Bias using Explainable AI. - Bas van Stein; Diederick Vermetten; Fabio Caraffini; Anna V. Kononova (GECCO Companion, 2023)

When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. - André Thomaser; Jacob de Nobel; Diederick Vermetten; Furong Ye; Thomas Bäck; Anna V. Kononova (GECCO, 2023)

Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. - Diederick Vermetten; Manuel López-Ibáñez 001; Olaf Mersmann; Richard Allmendinger 001; Anna V. Kononova (GECCO Companion, 2023)

Modular Differential Evolution. - Diederick Vermetten; Fabio Caraffini; Anna V. Kononova; Thomas Bäck (GECCO, 2023)

AI for Expensive Optimization Problems in Industry. - Niki van Stein; Roy de Winter; Thomas Bäck; Anna V. Kononova (CAI, 2023)

MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing. - Lucas Correia; Jan-Christoph Goos; Philipp Klein; Thomas Bäck; Anna V. Kononova (IJCCI, 2023)

Challenges of ELA-Guided Function Evolution Using Genetic Programming. - Fu Xing Long; Diederick Vermetten; Anna V. Kononova; Roman Kalkreuth; Kaifeng Yang; Thomas Bäck; Niki van Stein (IJCCI, 2023)

Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters. - André Thomaser; Marc-Eric Vogt; Thomas Bäck; Anna V. Kononova (IJCCI, 2023)

Optimizing CMA-ES with CMA-ES. - André Thomaser; Marc-Eric Vogt; Thomas Bäck; Anna V. Kononova (IJCCI, 2023)

Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. - Kirill Antonov; Anna V. Kononova; Thomas Bäck; Niki van Stein (CoRR, 2023)

Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. - Thomas H. W. Bäck; Anna V. Kononova; Bas van Stein; Hao Wang 025; Kirill A. Antonov; Roman T. Kalkreuth; Jacob de Nobel; Diederick Vermetten; Roy de Winter; Furong Ye (Evol. Comput., 2023)

Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files. - Fu Xing Long; Diederick Vermetten; Anna V. Kononova; Roman Kalkreuth; Kaifeng Yang; Thomas Bäck; Niki van Stein (Zenodo, 2023)

Deep multiagent reinforcement learning: challenges and directions. - Annie Wong; Thomas Bäck; Anna V. Kononova; Aske Plaat (Artif. Intell. Rev., 2023)

Disentangling causality: assumptions in causal discovery and inference. - Maarten C. Vonk; Ninoslav Malekovic; Thomas Bäck; Anna V. Kononova (Artif. Intell. Rev., 2023)

Real-world Optimization Benchmark from Vehicle Dynamics - Data and Code. - André Thomaser; Marc-Eric Vogt; Thomas Bäck; Anna V. Kononova (Zenodo, 2023)

A Functional Analysis Approach to Symbolic Regression. - Kirill Antonov; Roman Kalkreuth; Kaifeng Yang; Thomas Bäck; Niki van Stein; Anna V. Kononova (GECCO, 2024)

Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. - Diederick Vermetten; Carola Doerr; Hao Wang 025; Anna V. Kononova; Thomas Bäck (GECCO, 2024)

Landscape Analysis Based vs. Domain-Specific Optimization for Engineering Design Applications: A Clear Case. - Roy de Winter; Fu Xing Long; André Thomaser; Thomas H. W. Bäck; Niki van Stein; Anna V. Kononova (CAI, 2024)

Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. - Jacob de Nobel; Diederick Vermetten; Thomas H. W. Bäck; Anna V. Kononova (IJCCI, 2024)

Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. - Haoran Yin; Diederick Vermetten; Furong Ye; Thomas H. W. Bäck; Anna V. Kononova (IJCCI, 2024)

Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach. - Maarten C. Vonk; Diederick Vermetten; Jacob de Nobel; Sebastiaan Brand; Ninoslav Malekovic; Thomas Bäck; Alfons Laarman; Anna V. Kononova (IPMU (1), 2024)

Balancing Computational Cost and Accuracy in Inference of Continuous Bayesian Networks. - Maarten C. Vonk; Sebastiaan Brand; Ninoslav Malekovic; Thomas Bäck; Alfons Laarman; Anna V. Kononova (PGM, 2024)

Avoiding Redundant Restarts in Multimodal Global Optimization. - Jacob de Nobel; Diederick Vermetten; Anna V. Kononova; Ofer M. Shir; Thomas Bäck (PPSN (2), 2024)

A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. - Niki van Stein; Sarah L. Thomson; Anna V. Kononova (PPSN (2), 2024)

A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series. - Lucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova (Zenodo, 2024)

Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. - Annie Wong; Jacob de Nobel; Thomas Bäck; Aske Plaat; Anna V. Kononova (CoRR, 2024)

Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems. - Haoran Yin; Diederick Vermetten; Furong Ye; Thomas H. W. Bäck; Anna V. Kononova (CoRR, 2024)

TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data. - Lucas Correia; Jan-Christoph Goos; Philipp Klein; Thomas Bäck; Anna V. Kononova (CoRR, 2024)

Interactive embodied evolution for socially adept Artificial General Creatures. - Kevin Godin-Dubois; Oliver Weissl; Karine Miras; Anna V. Kononova (CoRR, 2024)

Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms. - Kirill A. Antonov; Marijn Siemons; Niki van Stein; Thomas H. W. Bäck; Ralf Kohlhaas; Anna V. Kononova (CoRR, 2024)

A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series. - Lucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova (CoRR, 2024)

Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions. - Lucas Correia; Jan-Christoph Goos; Philipp Klein; Thomas Bäck; Anna V. Kononova (Eng. Appl. Artif. Intell., 2024)

The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. - Anna V. Kononova; Diederick Vermetten; Fabio Caraffini; Madalina-Andreea Mitran; Daniela Zaharie (Evol. Comput., 2024)

Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics - Reproducibility Files. - Diederick Vermetten; Carola Doerr; Hao Wang 025; Anna V. Kononova; Thomas Bäck (Zenodo, 2024)

Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. - Jacob de Nobel; Diederick Vermetten; Anna V. Kononova; Thomas Bäck (Zenodo, 2024)

IOH-Xplainer - code, experiments and results. - Niki van Stein; Diederick Vermetten; Anna V. Kononova; Thomas Bäck (Zenodo, 2024)

Stalling in Space: Attractor Analysis for Any Algorithm. - Sarah L. Thomson; Quentin Renau; Diederick Vermetten; Emma Hart; Niki van Stein; Anna V. Kononova (EvoApplications (2), 2025)

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. - Haoran Yin; Anna V. Kononova; Thomas Bäck; Niki van Stein (EvoApplications (2), 2025)

Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. - Jacob de Nobel; Diederick Vermetten; Hao Wang 025; Anna V. Kononova; Günter Rudolph; Thomas Bäck (GECCO, 2025)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. - Niki van Stein; Anna V. Kononova; Lars Kotthoff; Thomas Bäck (GECCO, 2025)

A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series. - Lucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova (Zenodo, 2025)

PATH: A discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series. - Lucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova (Big Data Res., 2025)

Corrigendum to "Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions" [Eng. Appl. Artif. Intell. 138 (2024) 109323]. - Lucas Correia; Jan-Christoph Goos; Philipp Klein; Thomas Bäck; Anna V. Kononova (Eng. Appl. Artif. Intell., 2025)

AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents. - Kevin Godin-Dubois; Karine Miras; Anna V. Kononova (Frontiers Artif. Intell., 2025)

Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery. - Haoran Yin; Anna V. Kononova; Thomas Bäck; Niki van Stein (CoRR, 2025)

Graphical Models for Decision-Making: Integrating Causality and Game Theory. - Maarten C. Vonk; Mauricio Gonzalez Soto; Anna V. Kononova (CoRR, 2025)

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics. - Niki van Stein; Anna V. Kononova; Haoran Yin; Thomas Bäck (CoRR, 2025)

Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models. - Annie Wong; Thomas Bäck; Aske Plaat; Niki van Stein; Anna V. Kononova (CoRR, 2025)

From Spikes to Speech: NeuroVoc - A Biologically Plausible Vocoder Framework for Auditory Perception and Cochlear Implant Simulation. - Jacob de Nobel; Jeroen J. Briaire; Thomas H. W. Bäck; Anna V. Kononova; Johan H. M. Frijns (CoRR, 2025)

Explainable Benchmarking for Iterative Optimization Heuristics. - Niki van Stein; Diederick Vermetten; Anna V. Kononova; Thomas Bäck (ACM Trans. Evol. Learn. Optim., 2025)

Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery. - Niki van Stein; Haoran Yin; Anna V. Kononova; Thomas Bäck; Gabriela Ochoa (CoRR, 2025)

DQS: A Low-Budget Query Strategy for Enhancing Unsupervised Data-driven Anomaly Detection Approaches. - Lucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova (CoRR, 2025)