Data for: Exact Optimization and Decomposition Approaches for Shelf Space Allocation

Published: 13 September 2021| Version 3 | DOI: 10.17632/zy6bm4nr9w.3
Contributor:
burcu caglar gencosman

Description

These datasets are constructed for the experiments in the paper named "Exact Optimization and Decomposition Approaches for Shelf Space Allocation".

Files

Steps to reproduce

We analyze the data from a bookstore statistically and determine the frequencies of parameters (on the thickness of books and profitability of the books). Then, we use these empirical probabilities of the parameters to generate instances randomly and we call these instances RealisticData. To determine the performance of our methods in a more generic way, we construct SyntheticData by using the benchmarks from the literature.

Institutions

Uludag Universitesi Muhendislik Fakultesi

Categories

Combinatorial Optimization, Mixed Integer Programming, Resource Allocation, Marketing Resource Allocation, Decomposition Algorithms

Licence