小波变换图像增强源代码

遗传算法MATLAB程序包遗传算法MATLAB程序包 遗传算法MATLAB程序包 (genetic algorithm programming package)

Weibull distribution simulation with theoretical comparison

进行FFT变换，可以进行2纬fft，最原生的FFT程序。(FFT transform)

图像金字塔配准，利用金字塔分解实现对图像的多分辨率的分析(Registration of the image pyramid, multi-resolution image pyramid decomposition analysis)

implementing color detection by using the hue technique

说明：  一些各种滤波的程序，包括中值，均值，高斯滤波(Some of the various filtering procedures, including median, mean, Gaussian filter)

Toeplitz 修正处理的music算法。可以提高低信噪比和低采样率下的分辨率。(Toeplitz correction algorithm processing of music. Can improve the signal to noise ratio and low resolution low sampling rates.)

matlab有限元结构动力学分析与工程应用(matlab finite element structural dynamics analysis and engineering applications)

This is a Swarm BAT Algorithm.

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)