Worm optimization for the multiple level warehouse layout problem

Jean-Paul Arnaout ()
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Jean-Paul Arnaout: Gulf University for Science and Technology

Annals of Operations Research, 2018, vol. 269, issue 1, No 4, 29-51

Abstract: Abstract In this paper, the NP-complete multiple level warehouse layout problem is addressed. The problem consists of assigning items to cells and levels with the objective of minimizing transportation costs. A worm optimization algorithm (WO) is introduced, based on the foraging behaviors of Caenorhabditis elegans (Worms), and its performance was assessed by comparing with a genetic algorithm (GA), ant colony optimization (ACO), and an exact solution (B&B) for small problems. The computational results reflected the superiority of WO in large problems, with a marginally better performance than ACO and GA in smaller ones, while solving the tested problems within a reasonable computational time. Furthermore, WO was able to attain most of the known optimal solutions.

Keywords: Multiple level warehouse layout problem; Worm optimization; Ant colony optimization; Genetic algorithm; Branch and bound (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10479-017-2683-0

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