All Stories

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