636 results on '"Engelbrecht, Andries P."'
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2. Belief space-guided approach to self-adaptive particle swarm optimization
3. Empirical Loss Landscape Analysis of Neural Network Activation Functions
4. Assessing the Generalizability of a Performance Predictive Model
5. Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
6. Solving many-objective optimisation problems using partial dominance
7. Meta-heuristics for portfolio optimization
8. Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems
9. SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison
10. Regularised feed forward neural networks for streamed data classification problems
11. Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia
12. Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach
13. Particle Swarm Optimization and Differential Evolution
14. Loss Surface Modality of Feed-Forward Neural Network Architectures
15. Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions
16. Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems
17. Polynomial Approximation Using Set-Based Particle Swarm Optimization
18. Multi-guide Particle Swarm Optimisation Control Parameter Importance in High Dimensional Spaces
19. A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives
20. Performance analysis of dynamic optimization algorithms using relative error distance
21. Set-Based Particle Swarm Optimization for Portfolio Optimization
22. Fitting Gaussian Mixture Models Using Cooperative Particle Swarm Optimization
23. Control Parameter Importance and Sensitivity Analysis of the Multi-Guide Particle Swarm Optimization Algorithm
24. Characterisation of environment type and difficulty for streamed data classification problems
25. Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments
26. An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm
27. Insights into the Feature Selection Problem Using Local Optima Networks
28. A memory guided sine cosine algorithm for global optimization
29. Movement patterns of a particle swarm in high dimensional spaces
30. An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks
31. A parameter-free particle swarm optimization algorithm using performance classifiers
32. Set based particle swarm optimization for the feature selection problem
33. Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training
34. Time Series Forecasting Using Neural Networks: Are Recurrent Connections Necessary?
35. Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis
36. Gaussian-Valued Particle Swarm Optimization
37. Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces
38. The Importance of Component-Wise Stochasticity in Particle Swarm Optimization
39. Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer
40. Self-adaptive Quantum Particle Swarm Optimization for Dynamic Environments
41. Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization
42. Analysis of selection hyper-heuristics for population-based meta-heuristics in real-valued dynamic optimization
43. A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour
44. Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm
45. Self-adaptive particle swarm optimization: a review and analysis of convergence
46. Arithmetic and parent-centric headless chicken crossover operators for dynamic particle swarm optimization algorithms
47. Signal Modelling for the Digital Reconstruction of Gramophone Noise
48. Hyper-heuristics for the Flexible Job Shop Scheduling Problem with Additional Constraints
49. Headless Chicken Particle Swarm Optimization Algorithms
50. Insights into the Feature Selection Problem Using Local Optima Networks
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