基于狼群搜索算法的函数优化问题求解

Function Optimization Problem Solving Based on Wolves Search Algorithm

针对当前函数优化问题求解方法存在求解精度低、收敛速度慢等不足,提出了基于狼群搜索算法的函数优化问题求解方法 .首先构建函数优化问题的数学模型,然后采用狼群搜索算法在潜在解的空间进行寻优,找到函数优化问题的全局最优解,最后进行了具体函数优化问题求解的仿真实验.测试结果表明:狼群搜索算法加快了函数优化问题的求解速度,而且函数优化问题解的精度高,优于其他函数优化问题求解方法.将狼群搜索算法应用于无线电信异常信号识别的特征选择中,获得了较好的无线电信异常信号识别效果.

Aiming at the shortcomings of the current method of function optimization,such as low accuracy and slow convergence,a method of function optimization based on wolf search algorithm is proposed.First,we construct the mathematical model of function optimization problem,then use wolf search algorithm to optimize the solution space to find the global optimal solution of function optimization problem.Finally,we carry out the simulation experiment of specific function optimization problem.The test results show that the wolf search algorithm accelerates the speed of function optimization,and the accuracy of function optimization is higher than that of other function optimization problems.Wolves search algorithm is applied to the feature selection of the radio anomaly signal recognition,and the better recognition effect of the radio anomaly signal is obtained.