Network-Maritime-Complexity / GLSN-and-international-trade
This repository contains all the code and data used in our article titled “Estimating international trade status of countries from global liner shipping networks”.
☆10Updated last year
Alternatives and similar repositories for GLSN-and-international-trade:
Users that are interested in GLSN-and-international-trade are comparing it to the libraries listed below
- This repository contains all the code and source data files for our article. Note that, the source data for Fig 1d (which can be found i…☆15Updated last year
- zzh89982330 / Geatpy-Implementation-Co-operative-Prediction-Strategy-for-Dynamic-Multi-Objective-OptimizationThis repository contains the geatpy implementation for paper: Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimi…☆10Updated 4 years ago
- ☆13Updated 2 years ago
- Some useful tools for traffic network optimization(Python/GAMS)☆13Updated 4 years ago
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 6 months ago
- Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"☆19Updated 3 years ago
- Factory Planning Optimization Project (2015)☆11Updated 5 years ago
- The simulation model is a project of one of my courses. It models a three-level supply chain, where retailers can order from wholesalers …☆19Updated 3 years ago
- inventory simulation modules for single-echelon supply chain☆14Updated 6 years ago
- Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction☆19Updated 7 years ago
- Inverse Variational Inequalities along with optimization problems arising in Traffic networks☆27Updated 6 years ago
- a repository for DomiRank along with some code to do efficient node removals and largest-connected-component sampling of massive networks☆38Updated this week
- RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingAn eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.☆15Updated 10 months ago
- Replication Code for Paper "Stochastic Optimization Forests".☆19Updated 3 years ago
- ☆10Updated 4 years ago
- Example codes for IEM 4203/5203: shortest paths, transportation problem, k-median, k-center, set cover, facility location, max k-cover☆30Updated 2 years ago
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆18Updated last month
- Facility Location and routing problems: Survey, Models and Algorithm☆29Updated 3 years ago
- Using Dantzig-Wolfe (DW) decomposition algorithm to solve MCNF(Multi Commodity Network Flow) problem. Final project for the course of (la…☆19Updated last year
- 交通分配☆25Updated 4 years ago
- Urban Dynamics Through the Lens of Human Mobility☆15Updated last year
- towards a working Frank-Wolfe implementation of the equilibrium assignment in Python☆50Updated 7 years ago
- Combinatorial Optimization in Gurobi☆42Updated last year
- MIE424 Group Project: smart_predict_optimize☆13Updated 3 years ago
- Quantile regression neural networks☆16Updated last year
- This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…☆22Updated 4 years ago
- Accompanying scripts and models for paper "Transfer learning strategies for solar power1 forecasting under data scarcity"☆15Updated 2 years ago
- Data-Driven operations management - https://d3group.github.io/ddop☆17Updated 7 months ago
- multi-objective optimization, single-objective optimization and reinforcement learning in the field of ensemble learning and time series …☆22Updated last year
- Code for the ICOSSAR 2021 paper titled Comparing Topology-based and Flow-based Resilience Assessment of Interdependent Infrastructure Net…☆11Updated 9 months ago