Acell

对一个小算法应用内点法，算法比较简单，但思路明朗。值得我们学习(Algorithm applied to a small interior-point method, the algorithm is relatively simple, but Siluminglang. We can learn)

cogeneration optimizeted function

基于LS-SVM的多分类器的工具箱，版本的1.8的。该工具箱很好用，里面的分类我用过，效果比SVM强(LS-SVM classifier 1.8 version of the toolkit)

一个可运行的潮流计算程序，用牛顿拉弗逊法进行求解。(verry good!)

现在数字信号处理相关，本章主要讲述自适应滤波器(Modern digital signal processing)

This has minesweeper code

光伏并网逆变系统电流电压双闭环控制，测试成功，绝对可用！(Photovoltaic inverter current and voltage double-loop control system, the test is successful, absolutely free!)

用GUI做的一个混响音频处理界面，还有均衡器可以设置，单个功能函数也在里面(GUI to do with a reverb audio processing interface, as well as equalizer settings, a single performance function is also inside)

针对带有交货期窗口硬约束，并对提前/拖期零件进行惩罚的一类作业车间调度问题，设计了一种改进型遗传算法EGA。交货期窗口硬约束是指每个零件均有交货期和deadline，零件可以在交货期后完工，但绝不能超出deadline。EGA采用“逆向后推”和“顺向前拉”相结合的两阶段求解策略。针对部分染色体在解码过程中违反交货期窗口硬约束而产生非法解的问题，采用基于关键路径的染色体修复方法来调整染色体基因序列，以期实现在满足交货期窗口硬约束的同时降低零件拖期成本；在保持第一调度阶段拖期成本不变的基础上，采用基于逆向重调度的目标值修订方法来延迟零件开工时间，以减小成品提前库存成本。(This paper deals with the job shop scheduling problem with due window to minimize the sum of weighted earliness and weighted tardiness of jobs. This due window is a time duration between the due date and the latest acceptable completion date, namely dealine, of a job. Penalties are incurred if jobs are completed within the due window and the illegal schedule will occur if one job is finished after its deadline. A new Enhanced Genetic Algorithm (EGA), based on a two phase schedule mechanism was introduced. To avoid the violations of due window constraint and simultaneously reduce tardiness costs, a chromosome repair method based on critical paths was designed to adjust chromogene sequence. Then, on keeping tardiness costs unchanged, an objective value revision method based on reverse rescheduling was put forward to delay job release date for reducing earliness costs introduced by each job. )

电力电子应用技术MATLAB仿真，供初学者学习初级仿真学习 (The application of power electronics technology, MATLAB simulation, for beginners to learn the primary simulation study)