Search - swarm - CodeBus

Search - swarm - List

[Bio-Recognize] PSODem DL : 0: 用VC++实现的粒子群算法，程序经过调试可用-With VC++ Realize the particle swarm algorithm, the program can be used after debugging
Date : 2025-12-27 Size : 37kb User : weihualin
[Bio-Recognize] program DL : 0: 标准的粒子群算法的c++版本根据《微粒群算法》中的c程序自己实现得到的，大家可以-Standard Particle Swarm c++ Version in accordance with
Date : 2025-12-27 Size : 858kb User : 王晨
[Bio-Recognize] QPSO1 DL : 0: QoS路由组播问题的QPSO（Quantum-behaved Paricle Swarm Optimization）算法量子粒子群优化算法可应用于路由组播模型等-Quantum-behaved Paricle Swarm Optimization Algorithms based on Multicast Routing Issues
Date : 2025-12-27 Size : 15kb User : 索
[Bio-Recognize] PSOTSPMatlabProgram DL : 0: 粒子群算法求解TSP问题Matlab源代码-Particle swarm optimization algorithm for TSP problem Matlab source code
Date : 2025-12-27 Size : 4kb User : ph
[Bio-Recognize] apso DL : 0: pso优化算法，粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO，是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。-USE Particle Swarm Optimization Algorithm
Date : 2025-12-27 Size : 2kb User : hannvshi
[Bio-Recognize] Particle-Swarm-Optimization-PDF DL : 0: 粒子群优化算法的PDF文件内容丰富生动有实例参数分析 -Particle Swarm Optimization PDF file content rich and vivid instance parameter analysis
Date : 2025-12-27 Size : 3.89mb User : yaoyao
[Bio-Recognize] particle-swarm-optimization DL : 0: 这个是详细的粒子群算法代码。大家可以借鉴参考。-This is the detailed particle swarm optimization code. We can learn from the reference.
Date : 2025-12-27 Size : 4kb User : 吴天
[Bio-Recognize] PSO DL : 0: 粒子群优化算法求函数最小值代码,改变适应度函数即可在其他优化问题中得以应用-Particle swarm optimization algorithm for the minimum function code
Date : 2025-12-27 Size : 5kb User : Angelaus
[Bio-Recognize] fishswarm DL : 0: 鱼群算法，在一片水域中，鱼往往能自行或尾随其他鱼找到营养物质多的地方，因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方，人工鱼群算法就是根据这一特点，通过构造人工鱼来模仿鱼群的觅食。聚群及追尾行为，从而实现寻优-Fish swarm algorithm, c language programming, in the midst of the waters, the fish tend to fish on their own or trailing other nutrients found in many places, and thus the largest number of fish to survive in this place in general is the most nutrients in waters where AFSA according to this feature is that, by constructing artificial fish to mimic the fish feeding. Clusters and rear-end behavior, in order to achieve optimization
Date : 2025-12-27 Size : 889kb User : 胡斐
[Bio-Recognize] PSO DL : 0: 基于粒子群优化算法的的数据挖掘算法对比，用Matlab编写-Comparison of data mining algorithm based on particle swarm optimization algorithm, written using Matlab
Date : 2025-12-27 Size : 2kb User : 仲伟伟
[Bio-Recognize] pso DL : 0: 粒子群算法的简单应用，通过所测数据估计系统参数-Simple particle swarm algorithm, estimate the system parameters measured data
Date : 2025-12-27 Size : 6kb User : 万秀
[Bio-Recognize] weiliqun DL : 0: 粒子群优化算法，可实现基本粒子群无约束优化。-Particle Swarm Optimization (PSO), which can realize basic particle swarm unconstrained optimization.
Date : 2025-12-27 Size : 456kb User : 阴永昌