电子学报Issue(10)：2104-2108,5.DOI:10.3969/j.issn.0372-2112.2013.10.036
基于改进离散粒子群算法的传感器布局优化设计
Optimal Sensor Placement Design Based on Improved Discrete PSO Algorithm
摘要
Abstract
Optimal sensor placement is important content of testability design for complicated systems ,which belongs to the typical combinatorial optimization problem .Based on the improvement of the fault-sensor correlation matrix ,the constraint optimiza-tion model is set up which considers the fault detection abilities of the sensors .The ergodic of chaos has been used to initialize the parameters of the particles ,and the inertia weight is adjusted adaptively according to the swarm ’ s premature convergence degree . Besides ,the update of the particle’s position has been redefined ,then the improved discrete PSO algorithm is used to solve the opti-mization model .The simulation examples demonstrate that the proposed method is effective ,and the optimization results can satisfy all the requests of the system ,and it is a feasible approach for optimal sensor placement for complicated systems .关键词
离散粒子群算法/传感器布局优化/故障检测能力/早熟程度/混沌Key words
discrete PSO algorithm/optimal sensor placement/fault detection ability/prematurity degree/chaos分类
信息技术与安全科学引用本文复制引用
朱喜华,李颖晖,李宁,曹华金..基于改进离散粒子群算法的传感器布局优化设计[J].电子学报,2013,(10):2104-2108,5.基金项目
国家自然科学基金（No ．61074007）；总装预研基金；陕西省自然科学基金 （）
