调度

说明：  matlab实现蝙蝠优化(BA)算法，用于最优化计算(Bat optimization (BA) algorithm implemented by MATLAB for optimization calculation)

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：  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：  爬山改进遗传算法，提供更快的收敛速度，并用于优化极限学习机权值(Mountain climbing improved genetic algorithm to provide faster convergence speed and to optimize the weight of extreme learning machine)

基于CEC——2017benchmark测试集，计算最优 修正的果蝇算法，弥补原始果蝇算法在负数集上的缺失(modify fruit fly optimization)

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)

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：  一种改进的差分算法，包含cec2005部分单目标无约束测试函数(An improved difference algorithm)

多个萤火虫算法基础算例，为萤火虫算法通用算例(benchmark problem for firefly algorithm)

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)