GA

说明：  解决车间资源分配的动态调度问题，采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)

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)

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)

基于遗传算法的LQR控制器优化设计，二自由度振动系统(Optimal design of LQR controller based on genetic algorithm and two degree of freedom vibration system)

用matlab实现灰狼优化算法，用于最优化计算(Gray Wolf Optimization Algorithms with MATLAB for Optimal Computing)

说明：  CEC2017前2名的MATLAB算法实现 有EBOwithCMAR和jSO 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 top2 of cec217. There are ebowithcmar; JSO Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)

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：  经典遗传算法案例，利用遗传算法求解铁罐问题(genetic algorithm optimization)

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)

通过群算法（BSO和CSO），实现寻优的功能。(Through group algorithm (BSO and CSO), the optimization function is realized.)