ALO

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.)

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：  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：  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：  基于遗传算法的稀步平面阵列，用于平面阵列的稀步优化。可以有效的减少平面阵列的阵元。从而降低阵列天线的成本。(The sparse step linear array based on genetic algorithm is used to optimize the sparse step linear array. It can effectively reduce the array elements of linear array.)

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：  蚁群算法的改进，提出四个种类的蚂蚁选择城市的四种不同方式，(The improvement of ant colony algorithm proposes four different ways for four kinds of ants to select cities,)

采用蚁群算法对BP神经网络进行优化，并结合实例进行应用验证。(The ant colony algorithm is used to optimize the BP neural network, and an example is used to validate it.)

说明：  单目标带约束的随机漫步灰狼算法带初始化源代码(Single target grey wolf algorithm with constraint random walk source code)

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)