[Feature Request]: Traveling Salesman Problem (TSP) with Genetic Algorithm
ashis2004 opened this issue · 2 comments
ashis2004 commented
Is there an existing issue for this?
- I have searched the existing issues
Feature Description
- Data Collection: Generate or use existing datasets of city coordinates.
- Initialize Population: Create an initial population of random routes.
- Fitness Function: Define a fitness function to evaluate the total distance of each route.
- Selection: Select the best routes for crossover.
- Crossover: Combine routes to create new routes.
- Mutation: Introduce small changes to routes to maintain genetic diversity.
- Evaluation: Assess the performance of the algorithm in finding the shortest route.
Use Case
The Traveling Salesman Problem is a classic optimization problem where the goal is to find the shortest possible route that visits a list of cities and returns to the origin city.
Benefits
No response
Priority
High
Record
- I agree to follow this project's Code of Conduct
- I'm a GSSOC contributor
- I want to work on this issue
- I'm willing to provide further clarification or assistance if needed.
ashis2004 commented
pls @sanjay-kv assign it me
github-actions commented
Hello @ashis2004! Your issue #337 has been closed. Thank you for your contribution!