A new optimization model for market basket analysis with allocation considerations: A genetic algorithm solution approach

Heydari Majeed () and Yousefli Amir ()
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Heydari Majeed: University of Zanjan, Zanjan, Iran (Islamic Republic of)
Yousefli Amir: Imam Khomeini International University, Qazvin, Iran (Islamic Republic of)

Management & Marketing, 2017, vol. 12, issue 1, 1-11

Abstract: Nowadays market basket analysis is one of the interested research areas of the data mining that has received more attention by researchers. But, most of the related research focused on the traditional and heuristic algorithms with limited factors that are not the only influential factors of the basket market analysis. In this paper to efficient modeling and analysis of the market basket data, the optimization model is proposed with considering allocation parameter as one of the important and effectual factors of the selling rate. The genetic algorithm approach is applied to solve the formulated non-linear binary programming problem and a numerical example is used to illustrate the presented model. The provided results reveal that the obtained solutions seem to be more realistic and applicable.

Keywords: market basket analysis; association rule; non-linear programming; genetic algorithm; optimization (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:manmar:v:12:y:2017:i:1:p:1-11:n:1

DOI: 10.1515/mmcks-2017-0001

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