A heuristic approach to optimal design of an underground mine stope layout

Don Suneth Sameera Sandanayake, Erkan Topal, Mohammad Waqar Ali Asad

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The optimal layout or geometry of the production area (stope) in an underground mining operation maximises the undiscounted value subject to the inherent physical, geotechnical, and geological constraints. Numerous approaches to develop possible stope layouts have been introduced. However, owing to the size and complexity of the problem, these approaches do not guarantee an optimal solution in three-dimensional space. This article proposes a new heuristic algorithm that incorporates stope size variation for solving this complex and challenging optimisation problem. A case study demonstrates the implementation of the algorithm on an actual ore body model. In a validation study, the proposed algorithm generates 10.7% more profitable solution than the commercially available Maximum Value Neighbourhood (MVN) algorithm.

Original languageEnglish
Pages (from-to)595-603
Number of pages9
JournalApplied Soft Computing Journal
Volume30
DOIs
Publication statusPublished - 2015
Externally publishedYes

Fingerprint

Heuristic algorithms
Ores
Geometry
Optimal design

Keywords

  • Heuristic algorithm
  • Stope optimisation
  • Underground mining

ASJC Scopus subject areas

  • Software

Cite this

A heuristic approach to optimal design of an underground mine stope layout. / Sandanayake, Don Suneth Sameera; Topal, Erkan; Ali Asad, Mohammad Waqar.

In: Applied Soft Computing Journal, Vol. 30, 2015, p. 595-603.

Research output: Contribution to journalArticle

Sandanayake, Don Suneth Sameera ; Topal, Erkan ; Ali Asad, Mohammad Waqar. / A heuristic approach to optimal design of an underground mine stope layout. In: Applied Soft Computing Journal. 2015 ; Vol. 30. pp. 595-603.
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