用遗传算法解一个函数优化问题的程序，目标函数和约束条件可以改动!-Genetic Algorithm for a function optimization problem with the objective function and constraints can be changed!

罚函数方法是求解约束（极小）优化问题的一类较好的算法。其基本思想：根据约束的特点构造某种惩罚函数，并把惩罚函数添加到目标函数上去，从而得到一个增广目标函数，使约束优化问题的求解转化为一系列无约束极小优化问题的求解。-Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms. The basic idea: In accordance

基于训练字典的图像超分辨率算法,灵活的应用先验约束-Image super-resolution algorithm based on the training dictionary, flexible applications priori constraints

针对飞机装配线的加工任务调度问题设计了基于遗传算法的调度算法，包含一套启发式规则和一系列线边约束。-Task scheduling problem for processing aircraft assembly line designed scheduling algorithm based on genetic algorithm, comprising a set of heuristic rules and a series of line side constraints.

系统优化算法设计与实现—用惩罚函数发（外点法）解带等式约束的非线性规划-Algorithm design and system optimization- with the penalty function hair (external point method) Solutions for Nonlinear Programming with Equality Constraints