RETRACTED: Dynamic game model analysis of marketing resources allocation optimization (Retracted article. See DEC, 2022)

被引:2
|
作者
Song, Xiaofang [1 ]
机构
[1] Xinyang Agr & Forestry Univ, Xinyang, Peoples R China
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 6期
关键词
Genetic algorithm; Marketing; Resource allocation;
D O I
10.1007/s10586-018-2122-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper analyzes the dynamic game model of optimizing the allocation of marketing resources, and investigates the status and trend of the marketing of an enterprise, and points out the significance of the subject in the marketing decision system of the enterprise, and establishes the expert decision-making system for the enterprise and forecasting systems to provide reliable data support. We select the programming environment and genetic algorithm toolbox as a software platform to learn and improve the tool functions used in the toolbox to meet the design requirements. From the analysis of the results of this paper, it is shown that the global search optimization performance of GA is fully demonstrated, and the reasonable design of the algorithm can make it well combined with the purpose of this paper.
引用
收藏
页码:13889 / 13896
页数:8
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