搜索资源列表
user-manual
- SimSpark simulator，用户使用手册，东南大学RoboCup机器人竞赛资料。-SimSpark is a multi-agent simulation system for agents in three-dimensional environments. Its goal is to provide a high degree of flexibility for creating new types of simulations. It builds on a flexib
Pursuit-Model
- 多智能体遗传算法投影寻踪建模与实证研究-Projection Pursuit Model and Empirical Research on Genetic Algorithm for Multi-Agent
2dflocking
- 在没有虚拟领导者的情况下能够实现多智能体编队，并能够避免智能体之间的碰撞-Under no circumstances can the virtual leader of the multi-agent formation, and the ability to avoid collisions between agent
napping
- 非参数政策梯度的napping机制的java代码参考文献：Qing Da, Yang Yu, and Zhi-Hua Zhou. Napping for Functional Representation of Policy. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 14), Paris, France, 2014.-This
pso
- 粒子群优化算法(Particle Swarm optimization,PSO)又翻译为粒子群算法、微粒群算法、或微粒群优化算法。是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。通常认为它是群集智能 (Swarm intelligence, SI) 的一种。它可以被纳入多主体优化系统(Multiagent Optimization System, MAOS).粒子群优化算法是由Eberhart博士和kennedy博士发明。-PSO (Particle Swarm optimiz
PSOaMAPSO-reactive-power-opti
- 标准14节点的无功优化，粒子群算法和多智能体粒子群算法的实现，需要放到matpowe里。-ieee14 nodes system reactive optimized to achieve PSO and Multi-Agent particle swarm algorithm, need to put matpower environment.
Intelligent-control
- 资料包含三个部分： 1：多智能体系统一致性迭代学习控制的理论和算法 2：运用Hopfield神经网络求解优化问题 3：模糊系统设计的原理和算法-Theory and algorithms of multi-agent system consistency Iterative Learning Control 2:: Data consists of three parts: a use of Hopfield neural networks for solving optimizat
Coverage_Nemati
- Coverage Algorithm for a mobile robots in a multi agent control systems
1212wmn01
- On using Multi Agent Systems in Cognitive Radio Networks A survey
JADE-examples-4.3.2[1]
- jade 4.3.2 里面的一些例子，可以看看学习入门，多agent分布式编程-Some examples of jade 4.3.2 inside, you can take a look at study entry, multi-agent distributed programming
MASforSeg
- image segmentation by multi agent system using netlogo
yellowPages
- 为JADE 多代理开发平台的黄页服务实例-Yellow Pages service instance for multi-agent development platform JADE
flock-simulation
- 基于matlab的二阶微分动力学的智能体flocking数值模拟，其中每个智能体的动力学用微分方程来描述，给出每个个体组后的最后位置与运动方向。-a matlab code for second-order differential multi-agent flocking simulation, each agent s dynamics is described by using differential equation. it gives the figure of all agents
foryang
- 地面多个体系统循环追踪运动的简单实现，基于循环追踪算法，实现地面多个体系统的运动稳定-cyclic pursuit of multi-agent system
CBBA
- 该CBBA(Consensus-Based Bundle Algorithm)算法可以解决带有任务属性、任务价值、任务时间窗等多种约束下的任务分配问题，结果以图形化展示，便于理解。-CBBA is a decentralized market-based protocol that provides provably good approximate solutions for multi-agent multi-task allocation problems over networks of
OptimalPConsensusPObstacle-Avoidance
- 文件包里包含了多智能体最优一致性避障算法研究文章一篇及Matlab仿真源程序。-File package contains a multi-agent avoidance algorithm for optimal consistency an article and Matlab simulation source.
Ktime
- 基于多智能体的一致性算法，包括连续，和离散的一致性算法。-Consistency algorithm based on multi-agent, including continuous, and the consistency of the discrete algorithm.
SimpleSender
- 基于jade的多agent系统开发，ACL通讯demo，能够实现两个agent的通讯，开发工具为eclipse-develop multi agent with jade，acl communicate among two agent，demo
FirstAgent
- 多Agent开发，基于netbeans的java开发多agent系统-Multi-Agent development, based on the java netbeans development of multi-agent system
MAGA
- MAGA多智能体进化算法源码，已经调好，直接可以运行。-MAGA multi agent evolutionary algorithm source code, have a good tune, you can directly run.