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Search - ant colony optimize - List
[
matlab
]
acotspwenti
DL : 0
此蚁群算法专门用于求解tsp问题,优化效率和鲁棒性都非常好。-this ant colony algorithm tsp devoted to solving problems, and optimize the efficiency and robustness are very good.
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Size
: 2kb
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张鹏
[
Mathimatics-Numerical algorithms
]
1
DL : 0
用于求解函数优化的一个蚁群算法设计,好不容易找到的-Function used to solve an ant colony algorithm to optimize the design, hard to find
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Size
: 181kb
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白蛛蛛
[
Mathimatics-Numerical algorithms
]
ant-tsp-search
DL : 0
改进的蚁群算法及其在TSP问题中的应用研究 核心是用遗传算法对蚁群算法的四个参数进行优化,及运用MMAS进行巡径-Improved ant colony algorithm and its problems in the TSP is the core of the application of genetic algorithm with ant colony algorithm to optimize the four parameters, and application of MMAS to patrol trails
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Size
: 180kb
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Allen
[
Algorithm
]
PrincipleandApplicationofantcolonyalgorithm
DL : 0
蚁群算法的原理及其应用.pdf;;蚁群算法是优化领域中新出现的一种仿生进 化算法。该算法采用分布式并行计算机制,具有较强的鲁棒性 但有搜索时间较长,易陷入局部最优解的缺点。-The principle of ant colony algorithm and its application. Pdf ant colony algorithm is to optimize the emerging field of evolutionary algorithm for a bionic. The algorithm uses a distributed parallel computer system has strong robustness but search time is longer, easily falling into local optimal solution shortcomings.
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Size
: 290kb
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冒晶晶
[
Post-TeleCom sofeware systems
]
PIDcontrowithAOC
DL : 0
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 ant colony algorithm can be used to optimize the PID parameters there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle swarm optimization, artificial fish-swarm algorithm, and so on.
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: 2kb
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张望
[
Windows Develop
]
tsp2matlab
DL : 0
该程序试图对具有31个城市的VRP进行求解,已知的最优解为784.1,我用该程序只能优化到810左右,应该是陷入局部最优,但我不知问题出在什么地方。请用过蚁群算法的高手指教。 蚁群算法的matlab源码,同时请指出为何不能优化到已知的最好解-The program attempts to have 31 cities of the VRP is solved, the optimal solution is known as 784.1, I use the program can only be optimized to about 810, should fall into local optimum, but I do not know where the problem is. Please teach master ant colony algorithm used. Ant colony matlab source, also please explain why not optimize the best solution to a known
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: 2kb
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liyanan
[
matlab
]
aa-bp
DL : 0
使用蚁群算法及改进的蚁群算法优化BP神经网络的程序-Ant colony algorithm to optimize the BP neural network program
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Size
: 5kb
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刘煜
[
AI-NN-PR
]
XMLarithmetic
DL : 0
针对 XML 数据半结构化的特点及概率查询理论,结合蚁群算法,提出添加杂交算子和更新信息素的方法,该方法不仅能动态选 择数据查询方向,而且能避免无效查询,扩大数据查询范围,提高收缩效率。模拟测试证明了该方法能优化XML查询。-Semi-structured XML data for the characteristics and the probability of query theory, combined with the ant colony algorithm, crossover operator and proposed to add pheromone update method can not only dynamically select the data direction query, but also to avoid invalid query, the query to expand the scope of data improve the efficiency of contraction. Simulation tests proved that the method can optimize XML queries.
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: 1.07mb
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小剑
[
AI-NN-PR
]
yiqunsuanfayouhua
DL : 0
电脑编程技巧与维护2011年08期 以蚁群优化为基础的组播路由算法优化.pdf-Computer programming skills and to maintain 08 to 2011 based on ant colony optimization algorithm to optimize multicast routing. Pdf
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: 118kb
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bagasoga
[
Other
]
ACOB-P
DL : 0
蚁群优化算法优化神经网络的源程序!!蚁群优化算法优化神经网络的源程序-Ant colony optimization algorithm to optimize the neural network of the source, easy to use! ! !
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: 2kb
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dw
[
AI-NN-PR
]
ACO_NEW
DL : 0
蚁群算法是一种模拟进化算法,初步的研究表明该算法具有许多优良的性质.针对PID控制器参数优化设计问题,将蚁群算法设计的结果与遗传算法设计的结果进行了比较,数值仿真结果表明,蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值。-Ant colony algorithm is a simulated evolutionary algorithm, preliminary studies show that the algorithm has many excellent properties for the PID controller parameters to optimize the design problem, the design of ant colony algorithm and genetic algorithm design compared with numerical simulation results The results show that the effectiveness and value of the ant colony algorithm has a new simulated evolutionary optimization method.
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: 2kb
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xiaomeng
[
Windows Develop
]
Iant-tsp-searm
DL : 0
改进的蚁群算法及其在TSP问题中的应用研究核心是用遗传传算法对蚁群算法的四个参数进行优化,及运用MMAS进行巡径 -Improved ant colony algorithm and its core TSP problem is genetic propagation algorithm to optimize the four parameters of the ant colony algorithm, and the use of the MMAS patrol Trail
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Size
: 180kb
User
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qschh
[
matlab
]
aca-nn
DL : 0
使用蚁群算法并进行改进,利用改进的蚁群算法优化BP神经网络的程序-Ant colony algorithm and improved use of improved ant colony algorithm to optimize BP neural network program
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: 2kb
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111111
[
Internet-Network
]
tinyos-antbasic-algorithm
DL : 1
tinyos 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。蚁群算法是一种模拟进化算法,初步的研究表明该算法具有许多优良的性质.针对PID控制器参数优化设计问题,将蚁群算法设计的结果与遗传算法设计的结果进行了比较,数值仿真结果表明,蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值-The tinyos ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm the the probability type algorithm is a method for finding the optimal path in the graph. By Marco Dorigo in his doctoral thesis in 1992, inspired by the behavior of ants found in the process of looking for food path. Ant colony algorithm is a simulated evolutionary algorithm, preliminary studies show that the algorithm has many excellent properties for the PID controller parameters to optimize the design problem, the design of ant colony algorithm and genetic algorithm design compared with numerical simulation results The results show that the ant colony algorithm with a new simulated evolutionary optimization method effectiveness and value
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Size
: 484kb
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Sofunzhao
[
AI-NN-PR
]
aca_esn
DL : 0
用蚁群算法来优化回升状态网络训练后的最终值。-Ant colony algorithm to optimize the final value of the rebound in the state after the network training.
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Size
: 1kb
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张昌平
[
AI-NN-PR
]
ga-pso-aca_esn
DL : 0
用遗传粒子群蚁群混合算法来优化回升状态网络训练后的最终值。-Mixed genetic particle swarm ant colony algorithm to optimize the final value in the rebound after the state network training.
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:
Size
: 1kb
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张昌平
[
AI-NN-PR
]
yiqunsuanfa
DL : 0
蚁群算法优化程序,可以优化数据 用于故障诊断-Ant Colony Algorithm optimization program can optimize data for fault diagnosis
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: 1kb
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gao
[
AI-NN-PR
]
ais_youhua
DL : 0
蚁群优化算法 进行优化 可用于参数寻优 故障诊断-The ant colony optimization algorithm to optimize
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: 1kb
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gao
[
AI-NN-PR
]
ant-colony-optimization-algorithm
DL : 0
建立了带约束条件的物流配送问题的数学模型,运用蚁群算法解决物流配送路径 优化问题,并将遗传算法的复制、交叉、变异等遗传算子引入蚁群算法,同时改进信息素的 更新方式、客户点选择策略,以提高算法的收敛速度和全局搜索能力。经过多次实验和计算 ,证明了用改进的蚁群算法优化物流配送线路,可以有效而快速地求得问题的最优解或近似最 优解。-A mathematical model with the constraints of logistics and distribution issues, the use of ant colony algorithm to solve the problem of logistics distribution route optimization, replication and genetic algorithms, crossover and mutation genetic operators to introduce ant colony algorithm, while improving the way pheromone update customer point selection strategy to improve the convergence speed and global search capability. After several experiments and calculations prove that the optimal solution with improved ant colony algorithm to optimize logistics and distribution lines, can effectively and quickly determined the problem or near optimal solution.
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: 16kb
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低调惜缘
[
Special Effects
]
The-ant-colony-algorithm
DL : 0
蚁群算法,解决了旅行商问题的最短路径,优化了路径问题-Ant colony algorithm to solve the traveling salesman problem shortest path to optimize the routing problem
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:
Size
: 2kb
User
:
陈峰
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