Application of improved monkeys algorithm in optimal placement of sensor

DU Guo-zhang; MA Li

doi:10.13873/J.1000-9787(2015)08-0152-04

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Application of improved monkeys algorithm in optimal placement of sensor

更新时间：2025-09-11

- Application of improved monkeys algorithm in optimal placement of sensor
- Vol. 34, Issue 8, Pages: 152-155(2015)
- 作者机构：
  
  1. 兰州交通大学机电工程学院
  2. 兰州交通大学自动化与电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)08-0152-04
  CLC： TP18;TP212
- Published：2015
- 稿件说明：
移动端阅览
[1]杜国璋,马丽.改进的猴群算法在传感器优化布置中的应用[J].传感器与微系统,2015,34(08):152-155.

DU Guo-zhang, MA Li. Application of improved monkeys algorithm in optimal placement of sensor[J]. 2015, 34(8): 152-155.
[1]杜国璋,马丽.改进的猴群算法在传感器优化布置中的应用[J].传感器与微系统,2015,34(08):152-155. DOI： 10.13873/J.1000-9787(2015)08-0152-04.

DU Guo-zhang, MA Li. Application of improved monkeys algorithm in optimal placement of sensor[J]. 2015, 34(8): 152-155. DOI： 10.13873/J.1000-9787(2015)08-0152-04.

摘要

针对纸纱复合袋糊底机涂胶机构健康状况检测中的传感器优化布置问题

提出了一种改进的猴群算法（MA）。该算法以模态置信度（MAC）矩阵作为目标函数

通过正态分布方法构造初始种群来增强猴群的多样性;采用自适应的变动爬步长

提高了算法运行的速度和求解精度。以涂胶机构有限元模态分析结果为依据

对涂胶机构进行传感器优化布置

结果表明:改进的MA可以解决涂胶机构传感器优化布置问题

比简易猴群算法（SMA）寻优能力强、收敛精度高。

Abstract

Aiming at problems of optimal placement of sensor of gelatinize agency belongs to paper and yarn compounded bag bottom-pasting machine for health inspection

an improved monkeys algorithm（ MA） is proposed.Modal assurance criterion（ MAC） matrix is used as objective function

enhance the diversity of monkeys by using normal distribution methods to construct initial population; adaptive changeable climbing step is used to improve running speed and solving presition of the algorithm. Carry out optimal placement of sensor based on results of analysis on gelatinize agency finite element modal

the results verify that the improved algorithm can solve the problem and has better searching capability and high convergence presition compared with simple monkey algorithm（ SMA）.

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references

纸纱复合袋糊底机控制系统设计 [J]. 王义兵,彭珍瑞,殷红,董海棠,祁文哲. 制造业自动化 . 2015(02)

基于混沌猴群算法的传感器优化布置 [J]. 彭珍瑞,赵宇,殷红,彭宝瑞. 传感器与微系统 . 2014(10)

基于免疫猴群算法的传感器优化布置方法研究 [J]. 伊廷华,张旭东,李宏男. 计算力学学报 . 2014(02)

齿轮箱传感器优化布置研究 [J]. 魏秀业,潘宏侠,黄晋英. 兵工学报 . 2010(11)

猴群算法及其应用研究 [D]. 张亚洁. 西安电子科技大学 2014

A modified monkey algorithm for optimal sensor placement in structural health monitoring [J] . Ting-Hua Yi,Hong-Nan Li,Xu-Dong Zhang. Smart Materials and Structures . 2012 (10)

A novel numerical optimization algorithm inspired from weed colonization [J] . A.R. Mehrabian,C. Lucas. Ecological Informatics . 2006 (4)

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