Title: Application of matrix-based genetic algorithm in foreign trade CRM

Authors: Yu Tang; You Zhou

Addresses: Jiangxi Modern Polytechnic College, Nanchang – 330095, Jiangxi, China ' Jiangxi Modern Polytechnic College, Nanchang – 330095, Jiangxi, China

Abstract: Genetic algorithm is a bionic optimisation algorithm in a macroscopic sense, which can optimise the combination of numerical values. On this basis, this paper proposes a matrix genetic algorithm combined with matrix algorithm, and applies the algorithm to foreign trade CRM, aiming to improve the efficiency of customer relationship management (CRM). This article first introduces genetic algorithm, then analyses the operating mechanism and overall architecture of the foreign trade customer management system. Finally, a mathematical model is established using matrix genetic algorithm, and dynamic management of foreign trade customer relationships is achieved through fuzzy management matrix. Research shows that the algorithm can be used to search for customer information of foreign trade enterprises, extract useful information for decision-making, and the information extraction efficiency is 5.8% higher, so that foreign trade enterprises are in a favourable position in the fierce market competition. It ultimately gets the highest profit.

Keywords: matrix algorithm; genetic algorithm; foreign trade CRM; matrix genetic algorithm.

DOI: 10.1504/IJCSYSE.2026.151360

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.190 - 199

Received: 26 Oct 2023
Accepted: 30 Nov 2023
Published online: 26 Jan 2026 *

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