Using Biased-Randomized Algorithms for the Multi-Period Product Display Problem with Dynamic Attractiveness

Using Biased-Randomized Algorithms for the Multi-Period Product Display Problem with Dynamic Attractiveness

From brick-and-mortar stores to omnichannel retail, the efficient selection of products to be displayed on store tables, advertising brochures, or online front pages has become a critical issue. One possible goal is to maximize the overall ‘attractiveness’ level of the displayed...

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Bibliographic Details
Main Authors: Mage Marmol, Leandro do C. Martins, Sara Hatami, Angel A. Juan, Vicenc Fernandez
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Algorithms
Subjects:
omnichannel retail stores
product display problem
multi-period decisions
dynamic attractiveness
biased-randomized heuristics
Online Access:https://www.mdpi.com/1999-4893/13/2/34

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https://www.mdpi.com/1999-4893/13/2/34

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