MATLAB_finite_element

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.

matlab基础与应用教程例题第三章代码(code for matlab)

I upload matlab code of Tracking servo system

MATLAB CODE FOR DIGITAL COMMUNICATION

Switching-CFAR Processor

matlab实现16QAM的调盒解调(matlab achieve 16QAM modulation demodulator box)

LT编码的顾波分布函数及其调用函数程序，好不容易编的，很有用啊(LT codes Gu wave function is called the distribution function and its application, finally compiled, useful ah)

Project OOP Making Store System Information using simple with txt

最优化算法中的使用非单调线搜索求步长的拟牛顿算法的源码，matlab编程实现，希望对大家有用(The use of non-monotonic line optimization algorithm to search seeking step quasi-Newton algorithm source code, Matlab programming, and hope to be useful)

神经网络遗传算法函数极值寻优————非线性函数极值寻优(Neural network genetic algorithm optimization function extreme nonlinear function extreme optimization)