搜索资源列表
mopso-matlab
- 多目标粒子群算法 多目标部分是通过for循环实现的。-Multi-objective particle swarm optimization algorithm for multi-objective in part by recycling achieved.
mopsoC
- 使用C 语言编写的 多目标的粒子群优化算法 MOPSO 可以运行 内含测试函数 可以多功能运行-Using the C language for multi-objective particle swarm optimization algorithm MOPSO can run embedded test function can be multi-run
near_far
- 粒子群算法的多用户检测。希望对智能算法感兴趣的人有用。-Particle Swarm Optimization of Multi-User Detection. I hope the smart people who are interested in a useful algorithm.
liziqunsuanf
- 介绍粒子群算法的多用户检测。里面有四个程序。-Particle Swarm introduced multi-user detection. There are four procedures.
pso
- 自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
PSO
- 多AGENT粒子群算法，利用VC++实现-Multi-particle swarm optimization AGENT
zlbPSO
- 实现多目标粒子群优化功能，重点是进化因子的选取。-Multi objective particle swarm optimization, with emphasis on evolutionary selection factor.
SARS
- 多Agent关于SARS病毒的传播模型， 用于swarm仿真-Multi Agent on the spread of SARS virus model for swarm simulation
duomubiaoliziqundaima
- 基于C语言的多目标粒子群优化算法，主要用于各种优化工作，例如机器人的运动轨迹的优化等等. -C-based multi-objective particle swarm optimization algorithm, mainly used for a variety of optimization, for example, the robot trajectory optimization.
path-planning-MOPSO
- 采用粒子群算法，解决不确定性环境中，机器人路径规划问题-Robot path planning in uncertain environment using multi-objective particle swarm optimization
lizhiqunsuanfa
- 学习灰色理论方面，估计对你很有帮助，同时有运行截图，基于粒子群优化与灰色系统理论的多目标优化程序-Learn gray theory, we estimate that helpful to you, while running shots, based on particle swarm optimization and gray system theory of multi-objective optimization procedure
SwarmRobot-----LiuYanfei
- 群集机器人仿真程序，具有避障功能，可用于机器人或智能体的研究-simulation for swarm robots, with obstacle avoidance capability, can be used for robots or multi-agents
Three-Phase-Multi-Level-SVPWM
- Partical swarm optimization technique for analysis of load flow
HMPSO
- A hybrid multi-swarm particle swarm optimization to solve constrained optimization
Fractional-order modeling.zip
- This paper presents a fractional-order model (FOM) for lithium-ion batteries and its parameter identification using time-domain test data. The FOM is derived from a modified Randles model and takes the form of an equivalent circuit model with free no
1-s2.0-S0957417410009899-main
- In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS. We present a novel approach to merge the HS alg
标准pso代码-鲁
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
PSO
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
求解大规模问题的协同进化动态粒子群优化算法
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
DMS_PSO
- Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti