An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Muñoz-Valero, David, Moreno-Garcia, Juan, López-Gómez, Julio Alberto, Villarrubia-Martin, Enrique Adrian, Rodriguez-Benitez, Luis |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets
par: Muñoz-Valero, David, et autres
Publié: (2025)
par: Muñoz-Valero, David, et autres
Publié: (2025)
Robust blue-green urban flood risk management optimised with a genetic algorithm for multiple rainstorm return periods
par: Rehman, Asid Ur, et autres
Publié: (2025)
par: Rehman, Asid Ur, et autres
Publié: (2025)
A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
par: Shi, Shangqing, et autres
Publié: (2025)
par: Shi, Shangqing, et autres
Publié: (2025)
Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis
par: Kumar, Kandula Eswara Sai, et autres
Publié: (2024)
par: Kumar, Kandula Eswara Sai, et autres
Publié: (2024)
Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
par: Dittler, Daniel, et autres
Publié: (2024)
par: Dittler, Daniel, et autres
Publié: (2024)
Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems
par: Hamarashid, Hozan K., et autres
Publié: (2024)
par: Hamarashid, Hozan K., et autres
Publié: (2024)
Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
par: Wang, Yihe, et autres
Publié: (2026)
par: Wang, Yihe, et autres
Publié: (2026)
Graph Neural Network Assisted Genetic Algorithm for Structural Dynamic Response and Parameter Optimization
par: Mukherjee, Sagnik, et autres
Publié: (2025)
par: Mukherjee, Sagnik, et autres
Publié: (2025)
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
par: Yan, Maohua, et autres
Publié: (2024)
par: Yan, Maohua, et autres
Publié: (2024)
Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
par: Yang, Yisheng, et autres
Publié: (2024)
par: Yang, Yisheng, et autres
Publié: (2024)
A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications
par: Diao, Qi, et autres
Publié: (2025)
par: Diao, Qi, et autres
Publié: (2025)
An improved educational competition optimizer with multi-covariance learning operators for global optimization problems
par: Zhao, Baoqi, et autres
Publié: (2025)
par: Zhao, Baoqi, et autres
Publié: (2025)
Green vehicle routing problem that jointly optimizes delivery speed and routing based on the characteristics of electric vehicles
par: Feng, YY.
Publié: (2024)
par: Feng, YY.
Publié: (2024)
Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking
par: Hou, Po-Han, et autres
Publié: (2023)
par: Hou, Po-Han, et autres
Publié: (2023)
PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes
par: Pugalenthi, Karkulali, et autres
Publié: (2026)
par: Pugalenthi, Karkulali, et autres
Publié: (2026)
Benchmarking metaheuristic algorithms for the bi-objective redundancy allocation problem in repairable systems with multiple strategies
par: Oszczypała, Mateusz, et autres
Publié: (2025)
par: Oszczypała, Mateusz, et autres
Publié: (2025)
The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
par: Artis, Guillhem, et autres
Publié: (2026)
par: Artis, Guillhem, et autres
Publié: (2026)
Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
par: Luboeinski, Jannik, et autres
Publié: (2024)
par: Luboeinski, Jannik, et autres
Publié: (2024)
Personalized Transcranial Electrical Stimulation: A Review of Computational Modeling and Optimization
par: Wang, Mo, et autres
Publié: (2025)
par: Wang, Mo, et autres
Publié: (2025)
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
par: Salvador, Matteo, et autres
Publié: (2024)
par: Salvador, Matteo, et autres
Publié: (2024)
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
par: Amekoe, Kodjo Mawuena, et autres
Publié: (2024)
par: Amekoe, Kodjo Mawuena, et autres
Publié: (2024)
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
par: Wong, Jian Cheng, et autres
Publié: (2025)
par: Wong, Jian Cheng, et autres
Publié: (2025)
OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery
par: Liu, Qi, et autres
Publié: (2026)
par: Liu, Qi, et autres
Publié: (2026)
Echo State Networks for Bitcoin Time Series Prediction
par: Sharma, Mansi, et autres
Publié: (2025)
par: Sharma, Mansi, et autres
Publié: (2025)
Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks
par: Vanherreweghe, Mathew, et autres
Publié: (2025)
par: Vanherreweghe, Mathew, et autres
Publié: (2025)
Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques
par: Gowani, Rifa, et autres
Publié: (2024)
par: Gowani, Rifa, et autres
Publié: (2024)
Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
par: Wong, Jian Cheng, et autres
Publié: (2023)
par: Wong, Jian Cheng, et autres
Publié: (2023)
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
par: Rane, Chinmay, et autres
Publié: (2023)
par: Rane, Chinmay, et autres
Publié: (2023)
Using metaheuristics for the location of bicycle stations
par: Cintrano, Christian, et autres
Publié: (2024)
par: Cintrano, Christian, et autres
Publié: (2024)
From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems
par: Muzy, Alexandre
Publié: (2026)
par: Muzy, Alexandre
Publié: (2026)
Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
par: Calero, Alberto Miño, et autres
Publié: (2026)
par: Calero, Alberto Miño, et autres
Publié: (2026)
Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks
par: Jung, Uijun, et autres
Publié: (2025)
par: Jung, Uijun, et autres
Publié: (2025)
Ecological Cycle Optimizer: A novel nature-inspired metaheuristic algorithm for global optimization
par: Ma, Boyu, et autres
Publié: (2025)
par: Ma, Boyu, et autres
Publié: (2025)
Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms
par: Caro, Rosana, et autres
Publié: (2025)
par: Caro, Rosana, et autres
Publié: (2025)
CryptoGPT: a 7B model rivaling GPT-4 in the task of analyzing and classifying real-time financial news
par: Zhang, Ying, et autres
Publié: (2024)
par: Zhang, Ying, et autres
Publié: (2024)
Alpha Mining and Enhancing via Warm Start Genetic Programming for Quantitative Investment
par: Ren, Weizhe, et autres
Publié: (2024)
par: Ren, Weizhe, et autres
Publié: (2024)
REMS: a unified solution representation, problem modeling and metaheuristic algorithm design for general combinatorial optimization problems
par: Song, Aijuan, et autres
Publié: (2025)
par: Song, Aijuan, et autres
Publié: (2025)
Linking Microscopic and Macroscopic Models for Evolution: Markov Chain Network Training and Conservation Law Approximations
par: Melnik, Roderick V. N.
Publié: (2007)
par: Melnik, Roderick V. N.
Publié: (2007)
AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
par: Grbcic, Luka, et autres
Publié: (2025)
par: Grbcic, Luka, et autres
Publié: (2025)
Input Specific Neural Networks
par: Jadoon, Asghar A., et autres
Publié: (2025)
par: Jadoon, Asghar A., et autres
Publié: (2025)
Documents similaires
-
Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets
par: Muñoz-Valero, David, et autres
Publié: (2025) -
Robust blue-green urban flood risk management optimised with a genetic algorithm for multiple rainstorm return periods
par: Rehman, Asid Ur, et autres
Publié: (2025) -
A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
par: Shi, Shangqing, et autres
Publié: (2025) -
Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis
par: Kumar, Kandula Eswara Sai, et autres
Publié: (2024) -
Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
par: Dittler, Daniel, et autres
Publié: (2024)