GA

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)

基于子区域的粒子群优化算法研究，粒子群算法是进化算法的一种，多用于路径规划等问题(Subregion-based Particle Swarm Optimization)

说明：  用蜻蜓算法求解多目标优化问题，可以运行，完整代码(Using Dragonfly algorithm to solve multi-objective optimization problems, it can run, complete code)

说明：  一个实现多目标进化计算的数据集，用来测试不同的真实pareto前沿(A data set for multi-objective evolutionary computation to test different real Pareto Frontiers)

说明：  对于蚁群算法做出的改进，按信息素大小进行排序(For the improvement of ant colony algorithm, it is sorted by pheromone size)

基于变异策略的改进型花朵授粉算法，里边集成了粒子群算法、蝙蝠算法以及定向变异策略，进行对比(An improved flower pollination algorithm based on mutation strategy, which integrates particle swarm optimization, bat algorithm and directional mutation strategy, is compared.)

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：  minmin算法，适用于任务调度，可以与GA以及PSO等进行比较，是最基础的算法。(Minmin algorithm is suitable for task scheduling.)

说明：  标准萤火虫算法,程序运行稳定，可以自测！！！！！！！(Standard firefly algorithm, the program runs stably and can be self-tested! ! ! ! ! ! !)

说明：  在信息素更新上面对于蚁群算法所做出的改进，(In pheromone update, the improvement of ant colony algorithm is made,)