• Alternative Step-Size Adaptation Rule for the Matrix Adaptation Evolution Strategy
  • Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming
  • Working on the Structural Components of Evolutionary Approaches
  • Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment
  • Generating Small Instances with Interesting Features for the Traveling Salesperson Problem
  • Control of Biohybrid Actuators Using Neuroevolution
  • Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite
  • Tangled Program Graphs with Indexed Memory in Control Tasks with Short Time Dependencies
  • Educational Evolutionary Neural Architecture Search for Time Series Prediction
  • Genetic Programming for 5×5 Matrix Multiplication
  • Automated Design of a Genetic Algorithm for Image Segmentation Using the Iterated Local Search
  • A Simple yet Effective Algorithm for the Asteroid Routing Problem
  • Randomized Local Search vs. NSGA-II vs. Frequency Fitness Assignment on The Traveling Tournament Problem
  • Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification
  • Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning
  • Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image Restoration
  • Open Source Evolutionary Computation with Chips-n-Salsa
  • Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric Speciation
  • A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems
  • Step Size Control in Evolutionary Algorithms for Neural Architecture Search
  • Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge Transfer
  • Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language Codes
  • Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets
  • Optimizing Genetic Algorithms Using the Binomial Distribution
  • Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning
  • Studying the Relationship Between Crossover Features and Performance on MNK-Landscapes Using Regression Models
  • Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
  • Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization
  • Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem
  • A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods
  • Cartesian Genetic Programming Is Robust Against Redundant Attributes in Datasets
  • Fractal Analysis of the Subset-Sum Problem
  • L-SAGA: A Learning Hyper-Heuristic Architecture for the Permutation Flow-Shop Problem
  • Approximated Fuzzy p-values by Bootstrapped Fuzzy Distributions and Fuzzy Hypotheses Testing
  • Enhanced Missing Data Imputation Using Intuitionistic Fuzzy Rough-Nearest Neighbor Approach
  • Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI
  • AI-Based Preliminary Modeling for Failure Prediction of Reactor Protection System in Nuclear Power Plants
  • Anomaly Detection in eSport Games Through Periodical In-Game Movement Analysis with Deep Recurrent Neural Network
  • Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture
  • Invertibility of ReLU-Layers: A Practical Approach
  • Online Match Prediction in Shogi Using Deep Convolutional Neural Networks
  • Quantum Neural Network Design via Quantum Deep Reinforcement Learning
  • A Graph-Based Deep Learning Model for the Anti-Money Laundering Task of Transaction Monitoring
  • A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions
  • A Comparison of Advanced Machine Learning Models for Food Import Forecasting
  • Unsupervised Feature Selection Using Extreme Learning Machine
  • Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural Networks
  • Neuron Labeling for Self-Organizing Maps Using a Novel Example-Centric Algorithm with Weight-Centric Finalization
  • Contrastive Learning and Abstract Concepts: The Case of Natural Numbers
  • Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks
  • Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs
  • Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models
  • Assessing Forecasting Model Robustness Through Curvature-Based Noise Perturbations
  • LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments
  • REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
  • Stealing Brains: From English to Czech Language Model
  • Finding Strong Lottery Ticket Networks with Genetic Algorithms
  • End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning
  • Separating the Yes- from the No-Instances in the Number Partitioning Problem
  • Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision
  • The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes
  • META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data
  • FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data
  • Outage Risks: It is not the Malicious Attacks that Take Down Your Service
  • The Robustness of a Twisted Prisoner’s Dilemma for Incorporating Memory and Unlikeliness of Occurrence
  • Algebraic Structure of Recursively Constructed References and Its Application to Knowledge Base
  • Univariate GARCH Model for Futures Option Pricing: Application to Silver Mini Futures in Indian Commodity Market
  • Painter Profile Clustering Using NLP Features
  • Navigating Social Networks: A Hypergraph Approach to Influence Optimization
  • On the Robustness of Correlation Network Models in Predicting the Safety of Bridges
  • Assessing the Impact of Data Governance on Decision Making in Saudi Arabia
  • Analytical Study on Typeface Visual Identification
  • FaRS: A High-Performance Automorphism-Aware Algorithm for Graph Similarity Matching
  • Evaluating the Multifactorial Effects on SARS-CoV-2 Spread in Tokyo Metropolitan Area with an Agent-Based Model
  • Generative AI for Productivity in Industry and Education
  • Modeling Networks of Interdependent Infrastructure in Complex Urban Environments Using Open-Data