| 2024 | Cartesian Genetic Programming Is Robust Against Redundant Attributes in Datasets. | Henning Cui, Jrg Hhner |
| 2024 | Open Source Evolutionary Computation with Chips-n-Salsa. | Vincent A. Cicirello |
| 2024 | Optimizing Genetic Algorithms Using the Binomial Distribution. | Vincent A. Cicirello |
| 2024 | Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem. | Jiayang Chen, Zhize Wu, Sarah L. Thomson, Thomas Weise |
| 2024 | Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs. | Marco Cafiso, Paolo Paradisi |
| 2024 | L-SAGA: A Learning Hyper-Heuristic Architecture for the Permutation Flow-Shop Problem. | Younes Boukacem, Hatem M. Abdelmoumen, Hodhaifa Benouaklil, Samy Ghebache, Boualem Hamroune, Mohammed Tirichine, Nassim Ameur, Malika Bessedik |
| 2024 | A Graph-Based Deep Learning Model for the Anti-Money Laundering Task of Transaction Monitoring. | Nazanin Bakhshinejad, Uyen Trang Nguyen, Shahram Ghahremani, Reza Soltani |
| 2024 | Assessing Forecasting Model Robustness Through Curvature-Based Noise Perturbations. | Lynda Ayachi |
| 2024 | Finding Strong Lottery Ticket Networks with Genetic Algorithms. | Philipp Altmann, Julian Schnberger, Maximilian Zorn, Thomas Gabor |
| 2024 | REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. | Philipp Altmann, Cline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor |
| 2024 | Control of Biohybrid Actuators Using Neuroevolution. | Hugo Alcaraz-Herrera, Michail-Antisthenis I. Tsompanas, Igor Balaz, Andrew Adamatzky |
| 2023 | Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets. | Margarita Zaleshina, Alexander Zaleshin |
| 2023 | A Genetic Algorithm for Marine Spatial Planning with Minimized Conflict Between Planned Regions. | Seo-Ah Yu, Choong-Ki Kim, Yong-Hyuk Kim |
| 2023 | Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem. | Kristian Verduin, Sarah L. Thomson, Daan van den Berg |
| 2023 | The Opaque Nature of Intelligence and the Pursuit of Explainable AI. | Sarah L. Thomson, Niki van Stein, Daan van den Berg, Cees van Leeuwen |
| 2023 | Optimizing CMA-ES with CMA-ES. | Andr Thomaser, Marc-Eric Vogt, Thomas Bck, Anna V. Kononova |
| 2023 | Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters. | Andr Thomaser, Marc-Eric Vogt, Thomas Bck, Anna V. Kononova |
| 2023 | Enhancing ε-Sampling in the AεSεH Evolutionary Multi-Objective Optimization Algorithm. | Yu Takei, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2023 | A Study on Multi-Objective Optimization of Epistatic Binary Problems Using Q-learning. | Yudai Tagawa, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2023 | A Hybrid Bayesian-Genetic Algorithm Based Hyperparameter Optimization of a LSTM Network for Demand Forecasting of Retail Products. | Pravin Suryawanshi, Sandesh Gaikwad, Akansha Kumar, Akhil Patlolla, Sai K. Jayakumar |
| 2023 | Assisting Convergence Behaviour Characterisation with Unsupervised Clustering. | Helena Stegherr, Michael Heider, Jrg Hhner |
| 2023 | Unsupervised Representation Learning by Quasiconformal Extension. | Hirokazu Shimauchi |
| 2023 | Automatic Emoticons Insertion System Based on Acoustic Information of User Voice: 1st Report on Data Model for Emotion Estimation Using Machine Learning. | Ryo Senuma, Sho Yokota, Akihiro Matsumoto, Daisuke Chugo, Satoshi Muramatsu, Hiroshi Hashimoto |
| 2023 | Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting. | Anuvab Sen, Arul Rhik Mazumder, Dibyarup Dutta, Udayon Sen, Pathikrit Syam, Sandipan Dhar |
| 2023 | The Partition Problem, and How The Distribution of Input Bits Affects the Solving Process. | Nikita Sazhinov, Ruben Horn, Pieter Adriaans, Daan van den Berg |