All Stories

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