All Stories

  1. A Functional Analysis Approach to Symbolic Regression
  2. A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem
  3. A Critical Analysis of Raven Roost Optimization
  4. Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems
  5. Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints
  6. Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization
  7. Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations
  8. DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
  9. Deep BIAS: Detecting Structural Bias using Explainable AI
  10. BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances
  11. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  12. GSAreport: Easy to Use Global Sensitivity Reporting
  13. A Comparison of Global Sensitivity Analysis Methods for Explainable AI with an Application in Genomic Prediction
  14. A Comparison of Global Sensitivity Analysis Methods for Explainable AI with an Application in Genomic Prediction
  15. Analysis of how bias in search algorithms can affect the search behaviour
  16. Exploratory Landscape Analysis in Real-World Engineering Optimization
  17. Multi-point acquisition function for constraint parallel efficient multi-objective optimization
  18. End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines
  19. Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines
  20. Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations
  21. Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation
  22. Optimally Weighted Ensembles for Efficient Multi-objective Optimization
  23. Analysis of Structural Bias in Differential Evolution Configurations
  24. A Comparison of many Global Sensitivity Analysis methods
  25. Exploiting Generative Models for Performance Predictions of 3D Car Designs
  26. Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images
  27. Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization
  28. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  29. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  30. Emergence of structural bias in differential evolution
  31. Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders
  32. SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm
  33. Requirements towards optimizing analytics in industrial processes
  34. A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling
  35. Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds
  36. Neural Network Design: Learning from Neural Architecture Search
  37. Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search
  38. Feature Visualization for 3D Point Cloud Autoencoders
  39. A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem
  40. On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization
  41. Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders
  42. Cluster-based Kriging approximation algorithms for complexity reduction
  43. Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization
  44. Designing Ships Using Constrained Multi-objective Efficient Global Optimization
  45. A Novel Uncertainty Quantification Method for Efficient Global Optimization
  46. A multi-method simulation of a high-frequency bus line
  47. A new acquisition function for Bayesian optimization based on the moment-generating function
  48. Algorithm configuration data mining for CMA evolution strategies
  49. Time complexity reduction in efficient global optimization using cluster kriging
  50. A framework for evaluating meta-models for simulation-based optimisation
  51. Local subspace-based outlier detection using global neighbourhoods
  52. Fuzzy clustering for Optimally Weighted Cluster Kriging
  53. An Incremental Algorithm for Repairing Training Sets with Missing Values
  54. Analysis and Visualization of Missing Value Patterns
  55. Optimally Weighted Cluster Kriging for Big Data Regression