128 results on '"Beatrice M. Ombuki-Berman"'
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2. A Memetic Algorithm for Large-Scale Real-World Vehicle Routing Problems with Simultaneous Pickup and Delivery with Time Windows.
3. Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems.
4. A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning.
5. A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments.
6. Identification and Classification of JMH Microbenchmark States using Time Series Analysis.
7. A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization.
8. Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization.
9. Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping.
10. Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation.
11. A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems.
12. Leonardo Vanneschi and Sara Silva: lectures on intelligent systems.
13. Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery.
14. Integrating transformers and many-objective optimization for drug design.
15. Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems.
16. Two Modified NichePSO Algorithms for Multimodal Optimization.
17. Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification.
18. Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics.
19. Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms.
20. Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification.
21. Swarm Based Algorithms for Neural Network Training.
22. A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition.
23. An analysis of the impact of subsampling on the neural network error surface.
24. Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems.
25. An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm.
26. The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization.
27. An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks.
28. Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training.
29. Optimizing Scale-Free Network Robustness with the Great Deluge Algorithm.
30. Gaussian-Valued Particle Swarm Optimization.
31. A parameter-free particle swarm optimization algorithm using performance classifiers.
32. An age layered population structure genetic algorithm for the multi-depot vehicle problem.
33. An adaptive particle swarm optimization algorithm based on optimal parameter regions.
34. Optimal parameter regions for particle swarm optimization algorithms.
35. Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm.
36. Self-adaptive particle swarm optimization: a review and analysis of convergence.
37. A Scalability Study of Many-Objective Optimization Algorithms.
38. The bi-objective critical node detection problem.
39. Pareto-based many-objective optimization using knee points.
40. Automatic inference of graph models for directed complex networks using genetic programming.
41. The sad state of self-adaptive particle swarm optimizers.
42. A radius-free quantum particle swarm optimization technique for dynamic optimization problems.
43. High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping.
44. The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems.
45. Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization.
46. Evaluating landscape characteristics of dynamic benchmark functions.
47. Vector-evaluated particle swarm optimization with local search.
48. Investigating Fitness Measures for the Automatic Construction of Graph Models.
49. An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks.
50. A meta-analysis of centrality measures for comparing and generating complex network models.
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