A General Method Used in Complex Virtual Prototype Optimization Based on ANN and Optimization Algorithms Library

There are many difficulties in complex virtual prototype optimization. First, optimization needs thousands of simulation which must solve numerous equations and use a very long time in just one cycle. In addition, many optimization variables and many local minimums are captious to optimization algorithm. After analyzing the characteristics of complex virtual prototype optimization, thoughts of fitting virtual prototype function with ANN and choosing optimization algorithm in optimization algorithms library are brought out, and a general method suitable to complex virtual prototype optimization is obtained. In the end, an example of certain equipment whole dynamic performance optimization proved the efficiency of the method.