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Travelling Salesman Problem parallelized through MPI and OMP libraries in C++

License: GNU General Public License v3.0

C++ 96.02% Makefile 3.98%
openmp mpi tsp-problem montecarlo

parallel-traveler's Introduction

parallel-traveler

Travelling Salesman Problem parallelized through MPI and OMP libraries in C++

It uses multiple classes:

  • City: Entity. It represents a city by its name, X coordinate and Y coordinate.

  • Routes: Entity. It represents multiple cities in order, so that it's a route to be followed.

  • Problem: An use case. It allows you to store the distance matrix among cities, calculate cost and retrieve certain cities.

  • Montecarlo Heuristic: It implements the Montecarlo heuristic. It shuffles the whole Route

(WIP)

It includes a CodeBlocks project so that you can import it and start working on it!

TODO:

  • Clean unneeded files.
  • Refactor and move classes in order to follow Clean Code and Clean Architecture guidelines (e.g. entities, use cases; method with less than 16 lines, single responsibility...).
  • Better metrics such as Time tracking, results summary (e.g. # of cities, # of iterations, etc).

FINAL GOAL: Parallelize by using MPI and OpenMP libraries.

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