铣削加工过程的智能多目标优化方法

Intelligent Multiobjective Optimization of Milling Process

采用神经网络和专家系统的方法,实现带宽容分层约束的铣削加工过程多目标优化,利用Boltz-mann机神经网络求解各层次的多目标优化问题,利用专家系统控制优化进程.通过实例证明了系统优化求解的有效性.

The multiobjective optimization of the milling process can be accomplished by the layer constraint method using the neutral network and expert system. The mulitobjective optimization of each layer can be solved by Boltamann neutral network,while the optimization process can be controlled by the expert system. Besides,a case study is given to prove the validity of this method for system optimization.