tingyingwu's repositories
Algorithm-Lee
algorithm of maze routing problems in Qt Creator
Artificial-intelligent
In the Pick-up and Drop-off (PD) World, our goal is to design a route from the agent so that it could use the least steps to send all the blocks to drop-off cells. To solve reinforcement learning problems, we use a statistical approach and dynamic programming, especially Q-learning, to estimate the utility of taking actions in the states of the world. The given system setup is run for 6 different experiments that use different learning rates and policies.
awesome-operational_research
A curated list of awesome Operational research solvers, libraries, books, teachers and resources
carla
Open-source simulator for autonomous driving research.
d2cts
Automatically exported from code.google.com/p/d2cts
Data_driven_Distributed_Operation_of_Electricity_and_Natural_Gas_Systems
Electronic companion for research paper "Data-driven Distributed Operation of Electricity and Natural Gas Systems"
DecompositionAlgorithm1
Large scale decomposition algorithm (Lagrangian relaxation, Benders decomposition & Column generation) for CDN communication network.
DRO
recovering best statistical guarantees via the empirical divergence-based distributionally robust optimization
DRO-tex
Problem set for the class on Distributionally Robust Optimization
ElectricityPrice-prediction
A fuzzy System for forecasting Electricity Price. This program has been written in Python.
Energy_and_reserves_dispatch_with_DRJCC
Electronic companion for research paper "Energy and Reserves Dispatch with Distributionally Robust Joint Chance Constraints"
EVRPTW_Solver
A solver for the electronic vehicle routing problem with time windows
Flow-Shop-Scheduling-Based-On-Reinforcement-Learning-Algorithm
Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm
GA_OPF
Here I have implemented an optimal power flow with an aim of minimizing active power loss in a power system using genetic algorithm in MATLAB.
Garbarge-Distribution
画图，My second degree's graduation project
ICA_DPMS_Cpp
Imperialist Competitive Algorithm for distributed parallel machines schedule
Lagrangian-Relaxation-Algorithm-For-RRSLRP
To solve the RRS-LRP problem based on resource-space-time network, we developed a Lagrangian Relaxation Algorithm framework to decompose the origin problem into classic knapsack sub-problem and vehicle routing problem with recharging station (VRP-RS). The knapsack problem is solved by dynamic programming algorithm and a dynamic programming algorithm in RST network is developed to solve the VRP-RS. The dual problem of adjusting the Lagrangian multipliers was solved by an ascent method using sub-gradients approach. The algorithm framework is naturally suitable for parallel computing and distributed computing techniques due to the decomposition structure.
mb_QtIntegToolEnv_v1
A Qt integrated tools environment for the route engine for server
neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
or-scheduling-1
Code for the distributional robust operating room (OR) scheduling problem
self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
shortest_path
Program to build map routing program using Qt libraries. Given two airports, finds the shortest flight itinerary
Stochastic-Unit-Commitment
Stochastic Unit Commitment for Renewable Energy Supply using Lagrangian Decomposition
TAsK
Traffic Assignment frameworK (TAsK). Traffic assignment algorithms for the conventional and non-additive traffic assignment problems.
TrainTimetablingLite
Light weight code for single track train timetabling using branch and bound
TSP-D-Instances
A repository with instances for the TSP with Drones