pta

different appraoch to find the fitness

The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) These values are typically useful in power systems, audio signal processing, and other related fields.(The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) )

Build Windows 8 Apps with Microsoft Visual C++ Step by Step 源代码(Build Windows 8 Apps with Microsoft Visual C++ Step by Step source code)

基于灰色关联理论的移动机械人故障诊断方法研究(Based on Grey Relational Theory mobile robot fault diagnosis method)

这是一个好用的频偏估计算法的matlab仿真程序,基于混沌的模拟退火算法，数据包传送源码程序。( This is a useful frequency estimation algorithm matlab simulation program, Chaos-based simulated annealing algorithm, Data packet transfer source program.)

说明：  Matlab教学用，适合初学者，描述最基本的指令及应用(Matlab teaching for beginners, the basic description and application instructions)

基于MATLAB的ofdm系统仿真m文件(MATLAB-based simulation ofdm m files)

lsb water marking lsb water marking lsb water marking lsb water marking lsb water marking lsb water marking lsb water marking

Matlab 多小波变换SPHIT编码的图像压缩技术(Matlab based multiwavelet transform SPHIT coding image conpress)

本书是The IMA Volumes in Mathematics and its Applications系列的一本，由Springer-Verlag发表，用于交流每年数学规划算法方面的新成果，希望对于广泛的科学团体有帮助。 许多工程，运筹，和科学应用包括离散或连续的决策变量，以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming （MINLP，混合整数非线性规划），兼具来自非线性问题的非凸函数优化，以及来自整数的离散优化，这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一，但是因为它范围极广，在最一般的情况下，它是几乎无法解的。然而，日渐壮大的研究者和程序员队伍，包括化学工程，运筹研究者，工业工程师，机械工程师，经济学家，统计学家，计算机科学家，运营经理，和数学程序员，都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)