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spatialtsp

image A python package demo for spatially informed TSP

Aim of this package

  • Aims to increase computing performance while ensuring optimal solutions for TSP solution.
  • Application of the spatial partitioning informed approach. Applies Spatial Adjacency (Voronoi polygons) & Proximity Searching Methods (K-NN) to define connections among nodes

Features

  • Generate distance matrix based on the spatial information
  • Analyze Traveling Salesman Problem

Demos

  • Successfully worked in simulating toy data consisting of from 10 to 50 points(100 times of each toy data)
  • Successfully worked in the real data(48 Capitals of USA)