▍1. PSO粒子群5种改进算法实例源码
说明: 用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)
说明: 用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)
说明: matlab实现人工蜂群优化(ABC)算法,用于最优化计算(MATLAB realizes artificial bee colony optimization (ABC) algorithm for optimization calculation)
说明: 构建基于改进灰狼优化算法的神经网络数据预测模型(IGWO-BPNN),目的在于用改进的灰狼优化算法优化神经网络模型,利用神经网络的反向传播优势,改善神经网络算法易于陷入局部最小值的缺陷,提高神经网络模型的预测精度。(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)
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: 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.)
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)
说明: 差分进化原始算法,有多个案例用于理解和运用(The original differential evolution algorithm has many cases for understanding and application)
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.)
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,)
说明: 蚁群算法求解TSP问题程序,代码简单明了,易于理解。(Ant colony algorithm for TSP)
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: 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)