摘要
本文提出了应用遗传算法实现模糊Petri网参数优化的方法。仿真实验的结果表明,遗传算法能有效地找到模糊Petri网的理想参数,这提高了模糊Petri网对知识的分析、推理能力。
This paper presents the optimization of the parametens of a Fuzzy Petri net using genetic algorithm. The results of simulation proved that the algorithm could effectively search the ideal parameters of the Fuzzy Petri net, which improved the ability of analysis and reasoning of the net for knowledge.
出处
《微计算机信息》
北大核心
2005年第12Z期174-175,148,共3页
Control & Automation
