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A paper we wrote when I was working as a research assistant at DBIS chair of University of Freiburg
This project aims to solve the route optimisation problem among vehicles in a fleet by RL.
Computes the shortest route between a source and destination city, and prints out both the length of the route and a list of all the cities on the route.
JavaScript, API abuse, google maps and MVVM with KnockoutJS
Modeling the Chinese Postman Problem in NetworkX and creating a graphical visualization of the Eulerian path/circuits that appear.
Route Optimization Accelerator helps you run linear optimization tasks to solve vehicle routing and traveling salesman problems. It supports multiple constraints such as capacity constraint, time window constraint, duration constraint, distance constraint and more which can be configured on demand to meet your optimization requirements.
This project aims to solve the route optimisation problem of individual vehicle by RL.
This app calculate the optimized route between multiple locations added by user on google maps. stating position and ending position remains same. It gives you a optimized sequence of places to travel so that all places could be covered in minimum distance exactly once. This project is sub part of my another project Carbon Footprint Calculator.
Sentiment Analysis & Monte Carlo Tree Search with Nested Rollout Policy Adaptation for Business
This program is a solution to the Vehicle Routing Problem for Pickup and Delivery (VRPPD) with constraint on distance travelled by each driver. It efficiently assigns loads to drivers while minimizing total distance travelled using Clark-Wright Savings algorithm
A route optimiser for metro stations and subways giving (a). the shortest travel time with (b). maximum comfort [eg: less crowd, possibility of finding a seat, etc..] using primarily React Js (with Redux), Laravel framework(PHP), Node-Js(Socke.io Server), Neo4J (Graph Database).
A metaheuristic genetic algorithm route inspection problem solver for research purposes
An end to end solution for waste segregation, collection and disposal
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks
A heuristic goal programming, binary LP built using Gurobi/Python that picks best gate route from pareto solution pool to reduce flight delay due to baggage delivery at finite number of departure gates by a baggage handling vehicle which tows finite number of carts in an airport operation.
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