Name: Changhyun Kwon
Type: User
Company: KAIST
Bio: Associate Professor at KAIST / computational optimization / transportation / game theory / author of Julia Programming for Operations Research
Twitter: chghyn_kwon
Location: Daejeon, Republic of Korea
Blog: https://www.chkwon.net/julia
Changhyun Kwon's Projects
Open Source search based on OpenStreetMap data
Class notes for Nonlinear Optimization and Game Theory at USF, Spring 2016
Import tool for OpenStreetMap data to pgRouting database
This package estimates the number of paths and the path-length distribution using a Monte-Carlo simulation as well as explicitly enumerate all paths.
generating all paths from origin to destination
A mid-interface between the PATH Solver and the PATHSolver.jl package
The PATH solver library
provides a Julia wrapper for the PATH Solver for solving mixed complementarity problems
Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data
PolyTeX to LaTeX and HTML
Pointer Networks
Python wrapper around the Concorde TSP solver
A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
python package test
an interface to Conrcorde TSP solver
Julia package for finding robust shortest paths
Vehicle Routing Problem with Time Windows (VRPTW) / Elementary Shortest Path Problem with Resource Constraints (ESPPRC)
Julia interface to SCIP solver
CLI for book generation, building, and publishing to softcover.io
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Julia package for finding traffic user equilibrium flow
Transportation Networks for Research
Julia package for simple traveling salesman problem heuristics
A repository with instances for the TSP with Drones
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Test Instances for the Traveling Salesman Problem with Drone
Julia Package for reading .tsp files
TSPPD Test Instance Library