Search - swarm - CodeBus

Search - swarm - List

[Communication-Mobile] swarm DL : 0: 能在 ns-2 下模拟出一个使用 swarm 算法通讯的网络，关键字： aco, ant colony, swarm computing-In ns-2 under the simulation of a swarm algorithm for the use of communications networks, keyword: aco, ant colony, swarm computing
Date : 2025-12-27 Size : 1018kb User : Dennis
[Communication-Mobile] Wireless_MESH_Network_Channel_Assignment_general_M DL : 0: 基于粒子群优化的无线MESH网信道分配算法通用MATLAB源码，本算法基于冲突图的粒子群优化算法而来。-Particle Swarm Optimization for Wireless MESH Network Channel Assignment General MATLAB source code, the algorithm is based on the conflict graph from PSO.
Date : 2025-12-27 Size : 4kb User : 成龙
[Communication-Mobile] PSOToolb DL : 0: PSO toolbox, A useful toolbox for Particle Swarm Optimisation
Date : 2025-12-27 Size : 9kb User : moazzam
[Communication-Mobile] Matlab-Programs-of-PSO DL : 0: In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).
Date : 2025-12-27 Size : 3kb User : basem
[Communication-Mobile] PDF-pso DL : 0: In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).
Date : 2025-12-27 Size : 19.15mb User : basem
[Communication-Mobile] Final-Project DL : 0: In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).
Date : 2025-12-27 Size : 139kb User : basem
[Communication-Mobile] 430322283PSO_VQ DL : 0: 通过粒子群算法改进了矢量量化,有利于图像的压缩(The particle swarm optimization is used to improve the vector quantization, which is beneficial to the compression of the image.)
Date : 2025-12-27 Size : 50kb User : 张张的小白
[Communication-Mobile] 107215814PSO-optimization DL : 0: 粒子群算法的优化,有利于学习,详细注释.......(Optimization of particle swarm optimization)
Date : 2025-12-27 Size : 1kb User : 张张的小白