Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves

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19 Citations (Scopus)

Abstract

Shelves on which products are being displayed are one of the most important resources in retail environment. The decision of shelf-space allocation and management is therefore a critical issue in retail operation management. In this paper a hybrid algorithm that combines a genetic algorithm with a variable neighborhood search is proposed to address the shop shelf allocation problem. Results obtained from an extensive experimental phase show the suitability of the proposed algorithm in addressing the problem at hand.

Original languageEnglish
Pages (from-to)355-360
Number of pages6
JournalOperations Research Letters
Volume42
Issue number5
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Allocation
  • Heuristics
  • Shelf space

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