Asymmetric multi-depot vehicle routing problems: valid inequalities and a branch-and-cut algorithm
-
Updated
Mar 29, 2022 - C++
Asymmetric multi-depot vehicle routing problems: valid inequalities and a branch-and-cut algorithm
"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.
HGSADC is a metaheuristic to solve the multi-depot vehicle routing problem.
Multi Depot Vehicle Routing Problem (MDVRP) with genetic algorithm & brute force solver written in Python.
Genetic algorithm for Multi-Depot Vehicle Routing Problem optimization
Solving the NP-hard Multiple Depot Vehicle Routing Problem with a Genetic Algorithm
Solving the Multi Depot Vehicle Routing Problem (MDVRP) using a Genetic Algorithm (GA). This was a part of the course IT3708 - Bio-Inspired Artificial Intelligence at NTNU spring 2021.
Genetic Algorithms for Feature Selection, solving a variant of the Multi-Depot Vehicle Routing Problem (MDVRP), and image segmentation with a Multiobjective Evolutionary Algorithm (MOEA).
Genetic algorithm for Multi-Depot Vehicle Routing Problem optimization
Genetic Algorithms for Feature Selection, Solving a variant of the Multi-Depot Vehicle Routing Problem (MDVRP) using a Genetic Algorithm (GA), and Image Segmentation With a Multiobjective Evolutionary Algorithm
🗺️ Proposed solution for the Multi-Depot Vehicle Routing Problem with time constraints
Solving the Multiple Depot Vehicle Routing Problem (MDVRP) with a Genetic Algorithm
Add a description, image, and links to the mdvrp topic page so that developers can more easily learn about it.
To associate your repository with the mdvrp topic, visit your repo's landing page and select "manage topics."