MatlabCompilerUserGuide

getting the global calender by using matlab

说明：  用vc来实现遗传算法，不是matlab哦(vc used genetic algorithms to achieve, not Matlab oh)

关于MATLAB画完图后调整颜色云图的帮助文件colormapeditor(the helpful files of MATLAB colormapeditor)

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)

说明：  SET OF PROGRAMS FOR ASSEMBLY LINE BLOCKING PARAMETERS

space vector mudilation pwm in matlab winows xp

Steepest Descent Algorithm

辅助激光光学分析与应用，有matlab源代码，肯定有用(Assisted laser optics analysis and applications, there is matlab source code is certainly helpful)

Fast Chebyshev transform

经验模态分解，依据数据自身的时间尺度特征来进行信号分解，给出本征函数。(Empirical mode decomposition, based on the data itself characteristic time scale for signal decomposition, given the intrinsic function.)