综合考虑物流价格和变量协调精度 ,提出了一个以经济损失最小为目标函数 ,以变量可观性、冗余性、配置费用、控制和工艺要求等为约束条件的线性测量网传感器优化配置命题。并采用遗传算法来求解 ,大幅度地加快了寻优速度。这种方法既可以用于全新网络设计 ,也可以用于现有网络的改造更新。仿真实例说明了其可行性.

A novel objective function of sensor network design is proposed. Both of the mass flows prices and reconciliation precision are integrated into a uniform objective: economic loss, which is minimized subject to qualifying constrains such as variables observability, redundancy, cost and some particular requirements of control and techniques. Genetic algorithms are used to solve the optimization problem quickly and sufficiently. This method can be used not only to design new networks, but also to retrofit old ...