基于子区域的粒子群优化算法研究_曾嘉俊

原始的最优化算法，用来求解最小值最大值，适合新手入门学习(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：  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)

说明：  多目标遗传算法的完整代码，测试函数使用ZDT和DTLZ函数(Complete code of multi-objective genetic algorithm, test function uses ZDT and dtlz function)

说明：  采用改进的遗传算法，对柔性车间调度问题进行求解(Solving flexible shop scheduling problem with improved genetic algorithm)

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)

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)

日前调度，很好用的。已经证明打开了。可以运行(Day ahead scheduling)

说明：  灰狼算法,一种新型群体智能优化算法，将改进的灰狼算法优化神经网络模型，提高收敛速度，避免陷入局部最优解(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization algorithm that imitates the leadership of gray wolf population and hunting mechanism in nature)

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.)