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Data, instance sets, and instances generator for the Hop-Constrained Minimum Spanning Tree problem, the

Iago A Carvalho1, Amadeu A Coco2

  • 1Department of Computer Science, Universidade Federal de Alfenas, Alfenas, Brazil.

Data in Brief
|September 25, 2023
PubMed
Summary

A new C++ benchmark instance generator for constrained minimum spanning tree problems (CMSTP) was developed. This tool allows personalized instance generation and includes previously used instances and raw results to advance CMSTP algorithm research.

Keywords:
Bi-objective optimizationConstrained minimum spanning tree problemsGraphsMulti-objective optimizationOptimization

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Area of Science:

  • Operations Research
  • Computer Science
  • Algorithm Design

Background:

  • Constrained Minimum Spanning Tree Problems (CMSTP) are complex optimization challenges.
  • Existing benchmarks may not fully support diverse algorithmic development and evaluation.

Purpose of the Study:

  • To introduce a novel, user-friendly benchmark instance generator for CMSTP.
  • To facilitate the creation of personalized instances for specific research needs.
  • To provide a comprehensive dataset for evaluating CMSTP algorithms.

Main Methods:

  • Development of a C++-based instance generator without external libraries.
  • Implementation of five customizable parameters for instance generation.
  • Compilation and description of 640 existing benchmark instances.
  • Inclusion of raw computational experiment results.

Main Results:

  • A versatile and accessible benchmark instance generator for CMSTP.
  • A documented set of 640 benchmark instances.
  • Raw data from computational experiments to support reproducibility.

Conclusions:

  • The developed generator and dataset will aid in the advancement and rigorous evaluation of algorithms for CMSTP.
  • This resource aims to foster further research in the field of constrained optimization problems.