An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-Heuristic

  • Ruibin Bai
  • Graham Kendall
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 32)


This paper formulates the shelf space allocation problem as a non-linear function of the product net profit and store-inventory. We show that this model is an extension of multi-knapsack problem, which is itself an NP-hard problem. A two-stage relaxation is carried out to get an upper bound of the model. A simulated annealing based hyper-heuristic algorithm is proposed to solve several problem instances with different problem sizes and space ratios. The results show that the simulated annealing hyper-heuristic significantly outperforms two conventional simulated annealing algorithms and other hyper-heuristics for all problem instances. The experimental results show that our approach is a robust and efficient approach for the shelf space allocation problem.

Key words

Hyper-heuristics simulated annealing shelf space allocation planograms 


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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Ruibin Bai
    • 1
  • Graham Kendall
    • 1
  1. 1.Automated Scheduling, Optimisation and Planning (ASAP) Research Group, School of Computer Science & ITUniversity of NottinghamNottinghamUK

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