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计算机技术22年10期

基于贝叶斯网络 BOA 算法进化计算的优化研究
陈福林
(赣州师范高等专科学校,江西 赣州 341000)

摘  要:文章简单介绍了进化计算、遗传算法分析及贝叶斯网络概述,在此基础上,文章首先提出了基于贝叶斯网络 BOA算法进化计算优化的实现思想、贝叶斯网络优化算法流程;然后分析了贝叶斯网络 BOA 算法进化计算的优化评价函数,介绍了如何用 BOA 算法进行进化计算优化研究;最后用数据及模型图分析了 BOA 算法进化优化仿真过程。


关键词:贝叶斯网络;进化;算法;研究



DOI:10.19850/j.cnki.2096-4706.2022.10.025


基金项目:2016 年度江西省教育厅科学技术研究项目(GJJ161336)


中图分类号:TP391.9                                 文献标识码:A                                     文章编号:2096-4706(2022)10-0102-03


Optimization Research on the BOA Algorithm Evolutionary Calculation Based on Bayesian Network

CHEN Fulin

(Ganzhou Teachers College, Ganzhou 341000, China)

Abstract: This paper briefly introduces the evolutionary calculation, genetic algorithm analysis and Bayesian network overview. Based on them, this paper firstly presents the implementation idea of the evolutionary calculation optimization and Bayesian network optimization algorithm process based on Bayesian network BOA algorithm. Then it analyzes the optimization evaluation function of Bayesian network BOA algorithm, introduces how to perform evolutionary calculation optimization studies with the BOA algorithm. At last, the BOA algorithm evolutionary optimization simulation process is analyzed by data and model diagrams.

Keywords: Bayesian network; evolutionary; algorithm; research


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作者简介:陈福林(1976—),男,汉族,江西赣州人,副教授,硕士研究生,研究方向:计算机概率模型。