| 2023 | A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids. Sabereh Taghdisi Rastkar, Danial Zendehdel, Enrico De Santis, Antonello Rizzi |
| 2023 | A Comparison of the State-of-the-Art Evolutionary Algorithms with Different Stopping Conditions. Jana Herzog, Janez Brest, Borko Boskovic |
| 2023 | A Game Theoretic Approach Based on Differential Evolution to Ensemble Learning for Classification. Rodica Ioana Lung |
| 2023 | A Genetic Algorithm for Marine Spatial Planning with Minimized Conflict Between Planned Regions. Seo-Ah Yu, Choong-Ki Kim, Yong-Hyuk Kim |
| 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 | A New Approach to Addressing Uncertainty in Information Technology with Fuzzy Multi-Criteria Decision Analysis. Elissa Nadia Madi, Azwa Abdul Aziz, Binyamin Yusof |
| 2023 | A Novel Fuzzy Geometric Naive Bayes Network for Online Skills Assessment in Training Based on Virtual Reality. Jodavid de A. Ferreira, Arthur R. R. Lopes, Liliane S. Machado, Ronei M. Moraes |
| 2023 | A One-Vs-One Approach to Improve Tangled Program Graph Performance on Classification Tasks. Thibaut Bellanger, Matthieu Le Berre, Manuel Clergue, Jin-Kao Hao |
| 2023 | A Study on Multi-Objective Optimization of Epistatic Binary Problems Using Q-learning. Yudai Tagawa, Hernán E. Aguirre, Kiyoshi Tanaka |
| 2023 | A Survey and Analysis of Evolutionary Operators for Permutations. Vincent A. Cicirello |
| 2023 | Adaptive Case Selection for Symbolic Regression in Grammatical Evolution. Krishn Kumar Gupt, Meghana Kshirsagar, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan |
| 2023 | Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets. Margarita Zaleshina, Alexander Zaleshin |
| 2023 | Approximations of New MV-Valued Types of Fuzzy Sets. Jirí Mockor |
| 2023 | Assessment and Evaluation of Empirical and Scientific Data. Nikolaus Hansen |
| 2023 | Assisting Convergence Behaviour Characterisation with Unsupervised Clustering. Helena Stegherr, Michael Heider, Jörg Hähner |
| 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 | Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not. Reitze Jansen, Ruben Horn, Okke van Eck, Kristian Verduin, Sarah L. Thomson, Daan van den Berg |
| 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 |
| 2023 | Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization. Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta |
| 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 | Comparison of Different Surrogate Models for the JADE Algorithm. Konrad Krawczyk, Jaroslaw Arabas |
| 2023 | CoreSelect: A New Approach to Select Landmarks for Dissimilarity Space Embedding. Sylvain Chabanet, Philippe Thomas, Hind Bril El Haouzi |
| 2023 | Deep Learning for Active Robotic Perception. Nikolaos Passalis, Pavlos Tosidis, Theodoros Manousis, Anastasios Tefas |
| 2023 | Development of Kendo Motion Prediction System for VR Kendo Training System. Yuki Saigo, Sho Yokota, Akihiro Matsumoto, Daisuke Chugo, Satoshi Muramatsu, Hiroshi Hashimoto |
| 2023 | Differential Evolution Algorithm Based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition. Sandipan Dhar, Anuvab Sen, Aritra Bandyopadhyay, Nanda Dulal Jana, Arjun Ghosh, Zahra Sarayloo |
| 2023 | Enhancing ε-Sampling in the AεSεH Evolutionary Multi-Objective Optimization Algorithm. Yu Takei, Hernán E. Aguirre, Kiyoshi Tanaka |
| 2023 | Equidistant Reorder Operator for Cartesian Genetic Programming. Henning Cui, Andreas Margraf, Jörg Hähner |
| 2023 | Experimental Assessment of Heterogeneous Fuzzy Regression Trees. José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini |
| 2023 | Exploring Segnet Architectures for iGPU Embedded Devices. Jean-Baptiste Chaudron, Alfonso Mascareñas González |
| 2023 | Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies. Natasha Hamilton, Jim Harkin, Liam McDaid, Junxiu Liu, Eoghan Furey |
| 2023 | Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection. Andreas Margraf, Henning Cui, Stefan Baumann, Jörg Hähner |
| 2023 | Fuzzy Least Squares and Fuzzy Orthogonal Least Squares Linear Regressions. Julien Rosset, Laurent Donzé |
| 2023 | Hybrid Training to Generate Robust Behaviour for Swarm Robotics Tasks. Pedro Romano, Luís Nunes, Sancho Oliveira |
| 2023 | Interactive Role Mining Including Expert Knowledge into Evolutionary Algorithms. Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim |
| 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 |
| 2023 | MASD: Malicious Web Session Detection Using ML-Based Classifier. Dilek Yilmazer Demirel, Mehmet Tahir Sandikkaya |
| 2023 | MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition: Application to Nuclear Reactor Control Optimization. Baptiste Gasse, Sébastien Vérel, Jean-Michel Do |
| 2023 | Maximizing Particle Coverage with Fixed-Area Rectangles. Seung-Yeol Hong, Yong-Hyuk Kim |
| 2023 | Measuring and Ranking Bipolarity via Orthopairs. Zoltán Erno Csajbók |
| 2023 | Meta-Heuristic Optimization of Transistor Sizing in CMOS Digital Designs. Prashanth H. C., Madhav Rao |
| 2023 | Molecule Builder: Environment for Testing Reinforcement Learning Agents. Petr Hyner, Jan Hula, Mikolás Janota |
| 2023 | Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification. Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte |
| 2023 | Neural Network-Based Approach for Supervised Nonlinear Feature Selection. Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy |
| 2023 | Next Generation of Multi-Objective Evolutionary Optimization and Decision-Making Algorithms. Sanaz Mostaghim |
| 2023 | On Switching Selection Methods to Increase Parsimony Pressure. Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan |
| 2023 | On the Categories of Coalgebras, Dialgebras and Powerset Theory over L-Fuzzy Approximation Spaces. Sutapa Mahato, S. P. Tiwari |
| 2023 | Optimizing CMA-ES with CMA-ES. André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova |
| 2023 | Proceedings of the 15th International Joint Conference on Computational Intelligence, IJCCI 2023, Rome, Italy, November 13-15, 2023. Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe |
| 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 |
| 2023 | Robust Drone Detection and Classification from Radio Frequency Signals Using Convolutional Neural Networks. Stefan Glüge, Matthias Nyfeler, Nicola Ramagnano, Claus Horn, Christof Schüpbach |
| 2023 | Semi-Supervised Fuzzy C-Means for Regression. Gabriella Casalino, Giovanna Castellano, Corrado Mencar |
| 2023 | Shaping the Behavior Space with Counterfactual Agents in Multi-Objective Map Elites. Anna Nickelson, Nicholas Zerbel, Gaurav Dixit, Kagan Tumer |
| 2023 | Testing Variants of LSTM Networks for a Production Forecasting Problem. Nouf Alkaabi, Sid Shakya, Rabeb Mizouni |
| 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 | The Partition Problem, and How The Distribution of Input Bits Affects the Solving Process. Nikita Sazhinov, Ruben Horn, Pieter Adriaans, Daan van den Berg |
| 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 | Towards True Explainable Artificial Intelligence for Real World Applications. Hani Hagras |
| 2023 | Towards Understanding Crossover for Cartesian Genetic Programming. Henning Cui, Andreas Margraf, Michael Heider, Jörg Hähner |
| 2023 | Unsupervised Representation Learning by Quasiconformal Extension. Hirokazu Shimauchi |
| 2023 | Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation. Mahtab Mohtasham Khani, Kathryn Kasmarik, Shadi Abpeikar, Michael Barlow |