采用改进的进化策略优化模糊Petri网参数

Optimizing parameters of fuzzy Petri net based on improved evolutionary strategy

模糊产生式规则的各项参数对模糊Petri网(FPN)的建立具有非常重要的意义,寻找一种可以得到合适的FPN参数的方法一直是Petri网研究领域的热点与难点。已有的寻优方法得到的参数还不太令人满意。对传统进化策略做了改进,并采用改进后的进化策略,研究了一种FPN参数优化的新方法。仿真实验的结果表明,改进后的进化策略能提高FPN的参数精度,从而增强了FPN对知识的分析、推理能力。

Parameters of fuzzy production rules are very important to construction of fuzzy Petri net.Searching for a method to gain proper parameters of FPN is the hotspot and difficulty in the Petri net research area all along.At present,methods found out to search parameters are not perfect yet.On the base of traditional evolutionary strategy,this paper presentes a new method of improved evolutionary strategy to optimize the parameters of a Fuzzy Petri net.The results of simulation prove that the new method can improve the precision of parameters of the Fuzzy Petri net and enhance the ability of analysis and reasoning of the net for knowledge.