基于彩色Petri网模型和Hopfield神经网络算法的FMS调度

A. Song, J. T. Ootsuki, Wonkeun Yoo, Y. Fujii, T. Sekiguchi
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引用次数: 6

摘要

多处理机多任务调度是FMS运行中的一个重要问题,通常是NP完全的组合优化问题之一。本文拟提出一种基于彩色Petri网模型和Hopfield神经网络算法的优化方案。首先对FMS调度问题进行了分析,提出了FMS调度系统的彩色Petri网模型。然后,通过引入一种特殊的能量函数,提出了适用于求解调度问题的Hopfield神经网络。最后,对仿真结果进行了讨论。
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FMS's scheduling by colored Petri net model and Hopfield neural network algorithm
Multiprocessor multitask scheduling is very important in running FMS and is usually one of combinatorial optimization problem which are NP complete. This paper intend to develop an optimization scheme based on colored Petri net model and Hopfield neural network algorithm. At first, the FMS scheduling problem is analyzed and a colored Petri net model for FMS scheduling system is presented. Then, by introducing a special energy function, Hopfield neural network which is suitable to solve the scheduling problem is presented. Finally, the simulation result is discussed.
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