关键词: 脉冲耦合神经网络（PCNN）, 迷宫路径, 优化算法, MATLAB平台, 评估函数

Abstract: On the basis of previous research and application of PCNN model heuristic search strategy—A*search strategy, designs the intelligent optimization algorithm on the basis of improved PCNN and its application to solve the practical problems in maze. The main tasks：（1）Through the research of the intrinsic mechanism of PCNN model, select the appropriate model parameters to fit the solving maze shortest path problem. （2）Combining A*search algorithm, and prove that the algorithm is reliable, adaptive capacity and the obtained solution is optimal. （3）Through the IEEE standard maze and MATLAB platform, the algorithm evaluation function of its design, simulation and verification, etc. not only demonstrate the conclusion（2）, as well as demonstrate the efficiency of the algorithm. The related experimental results of research work show that the algorithm can not only find the target as quickly as possible, but also can get relatively satisfactory path in the relatively few search area.

Key words: Pulse Coupled Neural Network（PCNN）, labyrinth path, optimization algorithm, MATLAB platform, evaluation function