ADaSci Premium Membership fee will be revised from 1st March 2024. Lock your membership for 1 year at current price.

Solution Approach to Resolve Vehicle Routing Problem using Deep Reinforcement Learning

Author(s): Monika Singh, Sourav Mazumdar


In this work, we present a Deep Reinforcement Learning-based approach as a solution to one of the popular optimization problems, namely the “Capacitated Vehicle Routing Problem”. We have benchmarked the results against the genetic algorithm and have evaluated the performance using two KPIs- Travelling cost (distance covered) and Computational time. The comparison shows a 5X-20X reduction in cost and a 100X–1000X reduction in computational time. The Deep Reinforcement Learning-based solution adheres to an adaptive learning framework where the system automatically thrives for optimality rather than being explicitly programmed.

The Chartered Data Scientist Designation

Achieve the highest distinction in the data science profession.

Elevate Your Team's AI Skills with our Proven Training Programs

Strengthen Critical AI Skills with Trusted Generative AI Training by Association of Data Scientists

Explore more from Association of Data Scientists