802.3-2012_section3

说明：  细菌觅食优化算法 ，解决比例积分控制器参数优化的程序，对初学细菌算法很有帮助。(Bacterial foraging optimization algorithm to solve PI controller parameter optimization procedure, useful for beginners bacterial algorithm.)

通过小波矩提取车牌的特征，绝对可以运行，写了很久啊(License plate by extracting the characteristics of wavelet moment, absolutely can run and write for a long time ah)

Allow to read UFF file (all format) in matlab

Time evolution for a unit vector (Jeffery equation)

说明：  利用lindoapi借口在matlab中调用lindoapi中的函数，构造混合整数规模模型，求解小规模TSP问题的最优解(lindoapi excuse the use of Matlab lindoapi call the function, Mixed Integer scale tectonic model for small-scale TSP Optimal Solutions)

matlab加筋土挡土墙设计，完整的设计过程，同时可以进行改变筋条的长度(matlab reinforced soil retaining wall, the complete design process, at the same time can change the length of the ribs)

comparator code for micarowind

说明：  matlab的源码工具箱，一些函数的M文件(matlab source toolbox, some functions of the M-file)

自编matlab小波分解以及重构的函数，希望大家多多指教，后期完善了自编的卷积积分再上传(matlab for wavelet by self)

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)