Traveling Salesman Problem Solver

Python-based Genetic Algorithm solution for the Traveling Salesman Problem.

Developed a Python-based solver for the Traveling Salesman Problem (TSP) using genetic algorithms, achieving efficient route optimization.

  • Implemented core genetic algorithm features: selection, crossover, mutation, fitness evaluation to improve solution accuracy.
  • Open-source project with active community engagement: 21 forks and 10 stars on GitHub.
  • Practical tool for learning genetic algorithms and route optimization strategies.