带罚函数的自适应粒子群算法.

竞争群算法（CSO）的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))

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)

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.)

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.)

用蚁群算法来解决TSP问题的matlab代码，用的蚁周模型，参数为实验选择的最优参数(Ant arithmetic and TSP problem)

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.)

说明：  求解多目标问题，业内最经典的多目标算法之一(to solve multi-object problem)

说明：  贝叶斯算法优化了LSSVM的算例，算例中有贝叶斯算法优化，相对比较少见的优化。(Bayesian algorithm optimizes LSSVM examples)

遗传算法最大化峰值旁瓣电平，给出阵元数，阵列长度，遗传及交叉因子，得出最优的PSB(The genetic algorithm maximizes the peak sidelobe level, giving the number of array elements, the length of the array, the genetic and crossover factors, and derives the optimal PSB)

改进的灰狼算法用于重油热解模型的建模程序(greywolf algorithm for observation of heavy oil thermal cracking)