用matlab实现levy概率分布

说明：  根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)

粒子群算法的寻优机制，另附十余个测试函数。主程序为test_basic(Particle Optimization Algorithm)

说明：  在蚁群算法的基础上进行改进，使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)

说明：  原始的最优化算法，用来求解最小值最大值，适合新手入门学习(fruit fly optimization)

对传统遗传算法进行了改进，简单易懂可运行(The traditional genetic algorithm is improved, which is simple, easy to understand and run)

说明：  采用改进的遗传算法，对柔性车间调度问题进行求解(Solving flexible shop scheduling problem with improved genetic algorithm)

说明：  能够规划三维环境下的最优路径，能够满足多约束条件的目标规划(optimal path planning in three-dimensional enviroment)

含有约束方程 求最值所用的罚函数+粒子群优化算法(Penalty function + particle swarm optimization algorithm for using the constraint equation to find the maximum value)

说明：  CEC2017前几名的MATLAB算法实现 有EBOwithCMAR; jSO; LSHADE_SPACMA; LSHADE-cnEpSin 各种参数都可以调整，包括种群数量、F因子、变异率、交叉率等(The realization of MATLAB algorithm for the top few of cec217. There are ebowithcmar; JSO; lshade_spacma; lshade cnepsin. Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)

利用遗传算法实现机器人最优路径规划，优化算法步骤实现迭代次数最第，包括文档说明和算法说明(The genetic algorithm is used to realize the optimal path planning of robots, and the optimal algorithm steps are used to achieve the highest number of iterations, including document description and algorithm description.)