激活规则多目标优化算法在任务分解中的应用

doi:10.19678/j.issn.1000-3428.0053931

计算机工程 ›› 2020, Vol. 46 ›› Issue (3): 280-291. doi: 10.19678/j.issn.1000-3428.0053931

激活规则多目标优化算法在任务分解中的应用

胡亚楠^a, 李春生^a,b, 张可佳^a, 富宇^b

东北石油大学 a. 计算机与信息技术学院;b. 软件学院, 黑龙江大庆 163318

收稿日期:2019-02-16 修回日期:2019-03-20 发布日期:2019-04-22
作者简介:胡亚楠(1991-),女,博士研究生,主研方向为多智能体系统、数据挖掘;李春生,教授、博士;张可佳,讲师、博士;富宇,副教授、博士。
基金资助:
国家自然科学基金（51774090）；黑龙江省自然科学基金面上项目（F2015020）；东北石油大学青年科学基金（QJ-007-002）；东北石油大学研究生教育创新基金（JYCX_CX07_2018_1）。

Application of Rule Activation Multi-Objective Optimization Algorithm in Task Decomposition

HU Yanan^a, LI Chunsheng^a,b, ZHANG Kejia^a, FU Yu^b

a. School of Computer and Information Technology;b. College of Software, Northeast Petroleum University, Daqing, Heilongjiang 163318, China

Received:2019-02-16 Revised:2019-03-20 Published:2019-04-22

摘要/Abstract

摘要： 针对工业生产中计算量大、故障原因复杂的故障诊断任务，提出一种基于MPSO/D的激活规则多目标优化算法。采用置信规则库系统（EBRB）实现任务分解，以激活规则的不一致性与激活权重和作为多目标优化问题的目标函数，利用MPSO/D算法获取不一致性最小的激活规则集合，提高推理准确性。标准测试函数和三元复合驱采出井卡泵故障诊断实例中的测试结果表明，该算法能够有效提高EBRB系统的推理能力和虚拟导诊的任务分解准确性。

关键词: 故障诊断, 任务分解, 虚拟导诊, 扩展置信规则库, MPSO/D算法

Abstract: To address fault diagnosis tasks with large amounts of computation and complex fault causes in industrial production,this paper proposes a rule activation multi-objective optimization algorithm based on MPSO/D.First,Extended Belief Rule Base(EBRB) system is used to implement task decomposition.Next,the objective functions of the problems are optimized with inconsistency of activation rules and sum of activation weights taken as multiple objectives.Then MPSO/D algorithm is used to obtain a set of activation rules with minimal inconsistency,so as to improve inference accuracy.Experimental results on the standard test functions and the fault diagnosis example of the well pump for ternary compound flooding show that the proposed algorithm can effectively improve the reasoning ability of the EBRB system and the accuracy of task decomposition of virtual guidance.

Key words: fault diagnosis, task decomposition, virtual guidance, Extended Belief Rule Base(EBRB), MPSO/Dalgorithm

中图分类号:

TP18

胡亚楠, 李春生, 张可佳, 富宇. 激活规则多目标优化算法在任务分解中的应用[J]. 计算机工程, 2020, 46(3): 280-291.

HU Yanan, LI Chunsheng, ZHANG Kejia, FU Yu. Application of Rule Activation Multi-Objective Optimization Algorithm in Task Decomposition[J]. Computer Engineering, 2020, 46(3): 280-291.

https://www.ecice06.com/CN/Y2020/V46/I3/280

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