Evolutionary optimization for neural network-based discrete choice modeling
Enhancing stability and efficiency
Bibliographic Data
| ID | 19339605 |
|---|---|
| Authors | Hamid Hasanzadeh (0000-0002-0418-2898, Université Laval), Bobin Wang (0000-0003-4437-2490, Université Laval, corresponding author), Mikael Rönnqvist (0000-0002-1940-6129, Université Laval), Rayane Badji (Université Laval), Aditya Verma (0000-0002-8148-382X, Vellore Institute of Technology University) |
| Year | 2025 |
| Publication date | 2025-11-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transportation (JOURNAL) |
| Journal identifiers | ISSN: 0049-4488 • E-ISSN: 1572-9435 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11116-025-10682-x |
| OpenAlex | W4416135802 |
| Language | EN |
| References cited | 44 |
Artificial neural network · Discrete choice · Estimation theory · Genetic algorithm · Hyperparameter · Initialization · Multinomial logistic regression · Overfitting · Stability (learning theory) · Economic and Environmental Valuation · Transportation Planning and Optimization · Urban Transport and Accessibility
Applied Choice Analysis
Pearson Correlation Coefficient
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
Enhanced utility estimation algorithm for discrete choice models in travel demand forecasting
How to effectively communicate about greenhouse gas emissions with different populations
| Highly cited | No |
|---|