基于遗传算法的时间决策系统标定优化方法

Novel Calibration Optimization Method for Delay-Control Systems Based on Genetic Algorithm

  • 摘要: 针对由多延时电路并联而成的时间决策系统,提出了新的标定优化方法。综合考虑系统精度和可靠度,将标定问题转换为多目标优化问题,并建立了相应的优化目标函数。利用遗传算法对该问题进行求解,采取自适应交叉和变异策略,改善了遗传算法的收敛性能。仿真算例和工程实际应用表明,新方法具有近似最优的精度和较高的可靠度,具有较高的工程实用价值。

     

    Abstract: A novel calibration optimization method for delay-control systems is proposed. A multi-objective optimization function, considering both precision and reliability, is introduced to handle the calibration problem. Genetic algorithm (GA) is used to solve the optimization function, in which adaptive crossover and mutation algorithm are applied to improve the convergence performance of GA. Good performance of precision and reliability is demonstrated by numerical results.

     

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