All Stories

  1. An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
  2. Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
  3. Deep BIAS: Detecting Structural Bias using Explainable AI
  4. Modular Differential Evolution
  5. Analysis of how bias in search algorithms can affect the search behaviour
  6. Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
  7. Emergence of structural bias in differential evolution
  8. Is there anisotropy in structural bias?
  9. Shallow buried improvised explosive device detection via convolutional neural networks
  10. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms
  11. A product-centric data mining algorithm for targeted promotions
  12. Using Data Mining in Educational Administration: A Case Study on Improving School Attendance
  13. Efficient Computation of the Nonlinear Schrödinger Equation with Time-Dependent Coefficients
  14. A Robust Decision-Making Framework Based on Collaborative Agents
  15. Can Compact Optimisation Algorithms Be Structurally Biased?
  16. A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation
  17. An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis
  18. A study on rotation invariance in differential evolution
  19. Infeasibility and structural bias in differential evolution
  20. Validation of convolutional layers in deep learning models to identify patterns in multispectral images
  21. HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain
  22. A comparison of three differential evolution strategies in terms of early convergence with different population sizes
  23. Compact Optimization Algorithms with Re-Sampled Inheritance
  24. Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach
  25. Structural bias in differential evolution: A preliminary study
  26. Application of uninorms to market basket analysis
  27. Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution
  28. Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables
  29. Continuous Parameter Pools in Ensemble Differential Evolution
  30. Cluster-Based Population Initialization for differential evolution frameworks
  31. Structural bias in population-based algorithms
  32. Multicriteria adaptive differential evolution for global numerical optimization
  33. A Separability Prototype for Automatic Memes with Adaptive Operator Selection
  34. An analysis on separability for Memetic Computing automatic design
  35. A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms
  36. MULTI-STRATEGY COEVOLVING AGING PARTICLE OPTIMIZATION
  37. Re-sampled inheritance search: high performance despite the simplicity
  38. A CMA-ES super-fit scheme for the re-sampled inheritance search
  39. Single particle algorithms for continuous optimization
  40. Super-fit Multicriteria Adaptive Differential Evolution
  41. Memory-saving memetic computing for path-following mobile robots
  42. Micro-differential evolution with extra moves along the axes
  43. Parallel memetic structures
  44. Re-sampling search: A seriously simple memetic approach with a high performance
  45. Focusing the search: a progressively shrinking memetic computing framework
  46. Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead
  47. Meta-Lamarckian learning in three stage optimal memetic exploration
  48. The importance of being structured: A comparative study on multi stage memetic approaches
  49. Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes
  50. Robot Base Disturbance Optimization with Compact Differential Evolution Light