搜索资源列表
mtpso
- 连续型粒子群算法的java实现，可以自己设计粒子群算法（继承Swarm和Particle类），包含有三个个抽象类（Swarm、Particle、Problem），可以继承Problem类自定义新的问题。-continuous particle swarm algorithm to achieve the java can design their own PSO algorithm (inheritance and Particle Swarm), contains an abstract ca
多维函数优化程序
- 用JAVA语言编写，包括PSO（Particle swarm optimization, 中文译名为粒子群优化或微粒群算法), DE (Differential evolution, 中文译名为差分进化或差异演化)等算法，有一些不带约束和带约束的算例（如Michelawicz的几个问题）。使用说明见usage.txt、RUNExample.bat和程序中的注释。 -with Java language, including the PSO (Particle swarm optimizat
sss
- 在现有的道路条件下，提高交通控制和管理水平，合理利用现有的交通设施，充分发挥其能力，是解决我国现在交通问题的有效方法之一。而对单路口信号配时的优化，是城市交通区域控制的基础，十分之重要。本文将自适应变异粒子群算法应用于交通信号配时，与传统的信号配时方法相比较，车辆的平均延误得到了明显的改善。-the existing road conditions, traffic control and management, rational use of existing transport facili
Class_Cover_PSO_FNN
- 基于类覆盖算法和粒子群优化的神经网络解决模式分类问题-algorithm based on the type coverage and PSO the neural network model to solve classification problems
dpso_ccpzgf
- 二维二进制离散粒子群求解agent联盟问题的源代码，按c键迭代开始执行-two-dimensional discrete binary PSO Union agent for the source code, according to c Key iteration started
Discrete_PSO_TSP_C
- 离散粒子群算法（Discrete PSO）C语言源代码。 附带有利用D-PSO解决旅行商问题(TSP)的代码可作为使用时的Demo参考-discrete particle swarm algorithm (Discrete PSO) C language source code. Incidental use of a D-PSO solve the traveling salesman problem (TSP) code can be used as a reference when t
randpso
- 粒子群算法是同蚁群算法相似的群体智能算法，其基本思想是模拟自然界的群体行为来构造随机化算法，本程序是随机粒子群算法源代码，可以直接运行，针对不同的问题，只要稍加修改就可以马上使用，希望能对大家有点帮助。-PSO with the ant algorithm is similar groups intelligent algorithm, The basic idea is to simulate natural behavior groups to construct random algori
standpso
- 粒子群算法是同蚁群算法相似的群体智能算法，其基本思想是模拟自然界的群体行为来构造随机化算法，本程序是标准粒子群算法源代码，可以直接运行，针对不同的问题， 只要稍加修改，既可。-PSO with the ant algorithm is similar groups intelligent algorithm, The basic idea is to simulate natural behavior groups to construct random algorithm, the pro
apso
- 改进的粒子群算法--自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。-improved PSO -- Adaptive PSO. In a normal PSO which joined the entropy and the average particle from the concept of convergence speed, it is not easy to find the global opti
chapter15 基于混合粒子群算法的TSP搜索算法
- sp搜索算法，是经典的人工智能算法，我们可以利用此算法解决很多搜索问题(sp search algorithm is a classic artificial intelligence algorithm, we can use this algorithm to solve a lot of search problems)
MOPSO程序（附带测试函数）
- 适用于求解多目标问题，收敛性好，算法不缺乏多样性。(Be suitable to solve Multi-objective problems, better convergence and no lacking diversity)
PSO_immu
- 更好解决NP-hard问题，智能启发式算法，降低了传统穷举法的时间复杂度，在解决优化问题方面有突出表现。程序带有大量注释可供快速学习入门。(In order to solve the NP-hard problem better, intelligent heuristic algorithm reduces the time complexity of the traditional exhaustive method, and has outstanding performance in s
PSO算法求解CVRP“车辆路径问题”
- 有容量限制的车辆路径问题的启发式算法,本实验采用的是粒子群算法(heuristic algorithm for capacited vehicle routing problem)
PSO程序代码
- 对生产线上的工位布置优化，解决NP难问题。求解最优平衡率下的工位布置，平衡个工位的负荷。达到人员精简和降低成本的目的。(Optimize the workstation layout and solve the NP-hard problem. The workstation layout under the optimal balance rate is solved, and the load of each station is balanced. Achieve the goal of
针对自治水下机器人的路径规划问题进行了研究
- 针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法(The path planning problem of autonomous underwater vehicle (AUV) is studied. According to the fuzzy control rules, a fuzzy path planning algorithm based on particle swarm optimization (PS
PSO_mppt
- 应用于多峰值MPPT问题，采用PSO寻找最大功率点，具体实现在S-function中，仿真时建议找一个内存大的电脑用连续仿真，离散在这种仿真时容易出问题。自行读程序只需输入光伏电压电流即可实现，仿真多峰值问题时光伏板注意反并联二极管，输出为占空比，boost、隔离boost都可以使用(For multi-peak MPPT problem, PSO is used to find the maximum power point, which is realized in S-function.
SSA
- 最新的群智能优化算法，比粒子群算法好很多，方便在基础上进行修改，并且还有文档可以查看原理，略经修改，可以用在任何优化问题上，很好的算法，实在难得(The latest swarm intelligence optimization algorithm is much better than particle swarm optimization algorithm. It is convenient to modify on the basis of it. There are also doc
新建 360压缩 ZIP 文件
- 基于粒子群算法求解低速车辆模型的非线性模型预测控制问题(The nonlinear model predictive control problem of low-speed vehicle is solved based on particle swarm optimization (pso))
PSO_yueshu
- 带有不等式/等式约束的加速粒子群算法（apso），主要通过罚函数来进行约束，速度较快，可处理带约束问题(Accelerated particle swarm optimization (APSO) with inequality / equality constraints, which is mainly constrained by penalty function, is fast and can deal with constrained problems)
灰狼优化svm(g,a)
- 灰狼优化，由于一些问题的复杂，因此用灰狼算法解决一些优化问题(8/5000 Gray Wolf optimization)