All Stories

  1. A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics
  2. A joint learning framework for fake news detection
  3. Multi-scale Feature Fusion-based Dynamic Framework using Continual Learning to Identify Text Generated by Multiple Large Language Models
  4. Creating Synthetic Test Data for Rail Design Tools – The Case of Linear Scheme Plans
  5. Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies
  6. Explainable breast cancer prediction from 3-dimensional dynamic contrast-enhanced magnetic resonance imaging
  7. A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
  8. Using generative artificial intelligence to enhance the performance of disadvantaged students in secondary education
  9. Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multi-Criteria Decision-Making Approach
  10. An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
  11. Hybrid Summarization of Medical Records for Predicting Length of Stay in the Intensive Care Unit
  12. Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations
  13. Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net
  14. The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond
  15. Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
  16. Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments
  17. Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
  18. Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
  19. Deep BIAS: Detecting Structural Bias using Explainable AI
  20. Modular Differential Evolution
  21. Data-Driven Design for Anomaly Detection in Network Access Control Systems
  22. Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”
  23. An evolutionary intelligent control system for a flexible joints robot
  24. Direct deduction of chemical class from NMR spectra
  25. Driving in the Rain: A Survey toward Visibility Estimation through Windshields
  26. Metaheuristics in the Balance: A Survey on Memory‐Saving Approaches for Platforms with Seriously Limited Resources
  27. A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops
  28. An AI-Based Support System for Microgrids Energy Management
  29. An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length
  30. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  31. A new moving peaks benchmark with attractors for dynamic evolutionary algorithms
  32. An Empirical Investigation of Multinationality and Stock Price Crash Risk for MNCs in China
  33. Special Issue “Emerging Artificial Intelligence (AI) Technologies for Learning”
  34. Particle Swarm Optimisation in Practice: Multiple Applications in a Digital Microscope System
  35. Towards a software tool for general meal optimisation
  36. Analysis of how bias in search algorithms can affect the search behaviour
  37. A Proposed VR Platform for Supporting Blended Learning Post COVID-19
  38. Regression Analysis of Macroeconomic Conditions and Capital Structures of Publicly Listed British Firms
  39. Leveraging Immersive Technologies to Support Blended Learning Post Covid-19
  40. Applications of computational intelligence‐based systems for societal enhancement
  41. Analysis of Structural Bias in Differential Evolution Configurations
  42. Differential evolution outside the box
  43. Using Optimisation Meta-Heuristics for the Roughness Estimation Problem in River Flow Analysis
  44. SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security
  45. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  46. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  47. Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
  48. Emergence of structural bias in differential evolution
  49. Is there anisotropy in structural bias?
  50. Using self‐organising maps to predict and contain natural disasters and pandemics
  51. Evolving Deep Learning Convolutional Neural Networks for Early COVID-19 Detection in Chest X-ray Images
  52. Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection
  53. Re-sampled inheritance compact optimization
  54. Shallow buried improvised explosive device detection via convolutional neural networks
  55. A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations
  56. A Neural Network for Interpolating Light-Sources
  57. An Experimental Study of Prediction Methods in Robust optimization Over Time
  58. Can Single Solution Optimisation Methods Be Structurally Biased?
  59. Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
  60. Oil Palm Detection via Deep Transfer Learning
  61. Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform
  62. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms
  63. A product-centric data mining algorithm for targeted promotions
  64. Using Data Mining in Educational Administration: A Case Study on Improving School Attendance
  65. Efficient Computation of the Nonlinear Schrödinger Equation with Time-Dependent Coefficients
  66. Can Single Solution Optimisation Methods Be Structurally Biased?
  67. A Robust Decision-Making Framework Based on Collaborative Agents
  68. Can Compact Optimisation Algorithms Be Structurally Biased?
  69. A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation
  70. An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis
  71. A study on rotation invariance in differential evolution
  72. Infeasibility and structural bias in differential evolution
  73. Validation of convolutional layers in deep learning models to identify patterns in multispectral images
  74. Infeasibility and Structural Bias in Differential Evolution
  75. HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain
  76. A comparison of three differential evolution strategies in terms of early convergence with different population sizes
  77. Compact Optimization Algorithms with Re-Sampled Inheritance
  78. Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach
  79. Structural bias in differential evolution: A preliminary study
  80. Application of uninorms to market basket analysis
  81. Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution
  82. Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables
  83. Continuous Parameter Pools in Ensemble Differential Evolution
  84. Cluster-Based Population Initialization for differential evolution frameworks
  85. Structural bias in population-based algorithms
  86. Multicriteria adaptive differential evolution for global numerical optimization
  87. A Separability Prototype for Automatic Memes with Adaptive Operator Selection
  88. An analysis on separability for Memetic Computing automatic design
  89. A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms
  90. MULTI-STRATEGY COEVOLVING AGING PARTICLE OPTIMIZATION
  91. Re-sampled inheritance search: high performance despite the simplicity
  92. A CMA-ES super-fit scheme for the re-sampled inheritance search
  93. Single particle algorithms for continuous optimization
  94. Super-fit Multicriteria Adaptive Differential Evolution
  95. Memory-saving memetic computing for path-following mobile robots
  96. Micro-differential evolution with extra moves along the axes
  97. Parallel memetic structures
  98. Re-sampling search: A seriously simple memetic approach with a high performance
  99. Focusing the search: a progressively shrinking memetic computing framework
  100. Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead
  101. Meta-Lamarckian learning in three stage optimal memetic exploration
  102. The importance of being structured: A comparative study on multi stage memetic approaches
  103. Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes
  104. Robot Base Disturbance Optimization with Compact Differential Evolution Light