搜索资源列表
yiqunsuanfayingyong
- 蚁群算法多目标优化的博士论文，值得学习借鉴-mop
Ant-colony-algorithm
- 用于一般函数优化的蚁群算法,开发环境为VC++,很实用-Ant colony system is a novel simulated evolutionary algorithm which shows many excellent characters.
CSharp-solve-TSP
- c#解决蚁群算法实例源代码，实现一定范围内最短路径的优化。-c# solve the ant colony algorithm source code examples, shortest path optimization within a certain range.
yiqun
- 基于蚁群算法的高校排课系统优化策略 蚁群算法 课表优化-University Course Scheduling Based on Ant Colony Optimization Strategies Ant Colony Algorithm Optimization Timetable
RBF-ant
- 使用蚁群算法优化RBF神经网络方面的论文，相信对大家有用。-Using ant colony algorithm to optimize RBF neural network papers, believed to be useful.
ant-colony-optimization
- 这是介绍基于蚁群优化算法的碎纸拼接的文章-This is to introduce ant colony optimization algorithm shredding stitching articles
Research-on-an-ES-Aided
- Agent 蚁群算法 专家系统 优化排序 算例分析 多Agent系统-Ant colony optimization algorithm for expert systems sort numerical example
yiqunsuanfa-cPP
- 蚁群优化算法的C++程序 根据具体的要求改变参数和目标函数就能用 -Ant colony optimization algorithm C++ program change parameters and objective function can be used according to specific requirements
mayisuanfa
- 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为-Ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm, is a probabilistic algorithm used to find optimal
nice
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
MOACA
- 多目标蚁群算法很好的文章，基于非支配解，多目标优化问题的蚁群算法研究_张勇德-Multi-objective ant colony algorithm, based on non-dominated solutions
Fuzzy-control-of-diesel-generator
- 实现柴油发电机的模糊PID控制，并通过蚁群算法优化参数。-The fuzzy PID control of the diesel generator is realized, and the parameters are optimized by ant colony algorithm.
yiqunlvxing
- 蚁群优化是一种元启发式的随机搜索技术,是目前解决组合优化问题最有效的工具之一.将信 息素更新和随机搜索机制的改进相结合,提出一种快速求解旅行商问题的蚁群算法-Ant colony optimization is a kind of meta heuristic random search technique, is one of the most effective tool to solve combinatorial optimization problem. The letter
gaijinyiqunsuanfa
- 使用蚁群算法matlab代码，并在其基础上进行改进，进而得以优化蚁群算法。解决全国所有城市的TSP问题-ACA TSP
weizhi
- wsn的一种覆盖方式 利用蚁群算法来优化节点的覆盖面积-WSN coverage of the use of ant colony algorithm to optimize the coverage area of the node
MATLAB智能算法30个案例分析程序
- 蚁群算法、遗传算法、免疫算法等智能优化算法应用代码(Application code of intelligent optimization algorithms, such as ant colony algorithm, genetic algorithm, immune algorithm and so on)