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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：  基于精英变异算法的电动汽车充电优化策略以及结果的可视化(EV charging optimization strategy based on elite mutation algorithm and the visualization of results)

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)

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)

说明：  多目标优化算法NSGAⅡ的matlab仿真结果实现。(The multi-objective optimization algorithm NSGA II is realized by MATLAB simulation.)

标准的PSO算法以及几个典型测试函数的matlab源程序，资料可供大家参考(Standard PSO algorithm and several typical test functions of Matlab source code, information for your reference.)

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)

这是MATLAB中最新的优化工具箱，它利用最近提出的7种算法来优化您的问题。 此工具箱中提供的算法包括： 灰狼优化器（GWO），蚂蚁狮子优化器（ALO），多功能优化器（MVO），蜻蜓算法（DA），蛾火焰算法（MFO），正弦余弦算法（SCA）和鲸鱼优化算法（WOA） 。(This is the latest optimization toolbox in MATLAB, which optimizes your problem using seven algorithms recently proposed. The algorithms provided in this toolbox include: GWO, ALO, MVO, DA, MFO, SCA and WOA.)

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：  粒子群算法的寻优机制，另附十余个测试函数。主程序为test_basic(Particle Optimization Algorithm)