Packing Unit Spheres into a Cube Using VNS

Rym M'Hallah*, Abdulaziz Alkandari

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

This paper applies a variable neighborhood search (VNS) to the difficult problem of packing unit radii spheres into the smallest cube (PSC). VNS identifies (near-) global optima by searching the neighborhoods of local minima. It obtains neighboring solutions by shaking one or more spheres. It alters the size of a neighborhood every time it fails to find an improving solution. VNS matches 42 out of 55 upper bounds.

Original languageEnglish
Pages (from-to)201-208
Number of pages8
JournalElectronic Notes in Discrete Mathematics
Volume39
DOIs
Publication statusPublished - 1 Dec 2012

Keywords

  • Non-linear programming
  • Packing spheres in a cube
  • Three dimensional packing
  • Variable neighborhood search

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