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TSPLIB

The TSPLIB dataset is a standard benchmark for the Traveling Salesman Problem (TSP), containing coordinate information for multiple cities used to evaluate the performance of various algorithms.

Updated 11/14/2024
github

Description

TSPLIB Dataset Benchmark

Dataset Overview

  • Dataset name: pla85900.tsp
  • Number of nodes: 85900
  • Source: TSPLIB

Test Results

  • Algorithm: h2CurveSort
  • Distance: 188465250 (CEIL_2D)
  • Optimal distance: 142382641 (CEIL_2D)
  • Distance ratio: 1.32

Visualization

  • Optimal path: Optimal path
  • Hilbert Curve path: Hilbert Curve path

Defects

  • Issue: The TSP requires a closed tour, whereas Hilbert Curve Sort provides only a simple path.
  • Impact: Increases the distance between the start and end nodes, resulting in a larger total distance.

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Topics

Traveling Salesman Problem
Algorithm Evaluation

Source

Organization: github

Created: 11/14/2024

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