Description: example.txt
仿真实例.txt
归一实例.txt
每次预测结果不一样的解释.txt
遗传算法优化BP神经网络权值和阈值的通用.txt -example.txt simulation examples. txt return an instance. txt is not the same each time the interpretation of predicted results. txt genetic algorithm BP neural network weights and thresholds of the general. txt Platform: |
Size: 34816 |
Author:洁 |
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Description: 基于遗传算法的人工生命模拟，后面的自己能力有限，从师兄那弄来的-Based on genetic algorithm artificial life simulation, the back of their limited capacity, that got it from Brother Platform: |
Size: 28672 |
Author:zhanghongzhi |
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Description: This application comprises a market simulation game populated by artificially intelligent trading agents. Each agent is controlled by a virtual machine that executes a simple program based on a customized machine language. The programs may be randomly generated, or may be hand-programmed by the user via an embedded assembler. Alternatively, the program can generate skilled agents automatically via a competitive genetic algorithm, which generates a number of agent programs, competes them for a number of simulations, chooses the most successful agent programs, and randomly crosses over their programs to create new agent programs. The application may also run an instance of the market-trading game, populated by agents running specific programs. As the game progresses, the application provides a realtime graphical display of market conditions and each player s resources, as well as the current events affecting the market. The user may also directly participate as a player in the game. Platform: |
Size: 156672 |
Author:diana |
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Description: 针对通信网络中多重QoS约束条件下的多播路由计算，提出了一个基于模拟退火技术的改进遗传算法HGA-QoSR。该算法把模拟退火技术的局部寻优能力与遗传算法的全局寻优能力有机结合，并利用隔离小生境机制控制种群的独立进化，使演化过程中的种群保持生态多样性，以提高算法运行效率和解的质量。理论分析和仿真实验表明，与传统遗传算法相比较，该算法性能有显著改进。 -Communication networks for multi-QoS Constrained multicast routing calculation, proposed a simulated annealing technique based on improved genetic algorithm HGA-QoSR. The algorithm to simulated annealing and local optimization ability of genetic algorithms global optimization ability of organic combination and isolation niche mechanism to control the use of independent evolution of populations, the evolution of the species to maintain ecological diversity, to improve the algorithm efficiency settlement quality. Theoretical analysis and simulation results show that compared with traditional genetic algorithm, the algorithm performance significantly improved. Platform: |
Size: 27648 |
Author:S514506227 |
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Description: 遗传算法是一种模拟遗传规律的智能优化算法，该算法有很多的优点，他可以使数据向最优方向转化。-Genetic algorithm is a simulation of the genetic law of intelligent optimization algorithm, which has many advantages, he can transform the data to the optimal direction.
Platform: |
Size: 17408 |
Author:焦云雪 |
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Description: 给出了一种将 ￠° 算法和遗传算法有机结合的全局收敛的混合计算智能学习算法"此算法结合了 ￠ ° 算
法和遗传算法的长处å 既有较快的收敛性å 又具备良好的全局收敛特性" 计算机仿真结果表明å 该混合算法显
著优于遗传算法和 ￠ ° 算法"-Gives a way to ￠ ° algorithm and genetic algorithm combination of global convergence of hybrid computational intelligence learning algorithm " ￠ ° This algorithm combines the strengths of algorithm and genetic algorithm both faster convergence å å and have a good overall convergence characteristics of " å computer simulation results show that the hybrid algorithm was significantly better than genetic algorithms and ￠ ° Algorithm" Platform: |
Size: 89088 |
Author:杜晓帆 |
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Description: 本文用于揭示复杂网络中社区结构的多目标遗传算法。该算法可检测具有组间稀疏连接且组内紧密联结的节点并定义了两个目标函数对检测方法进行了优化。通过仿真及现实中的实验验证，该算法可以成功的检测社区结构。-This paper presents a method for revealing the community structure of complex networks in multi-objective genetic algorithm. The algorithm can detect with sparse connections between groups and within groups of closely connected nodes and define the objective function of the two detection methods were optimized. This method produces a series of hierarchical network part, which contains more of the deep part of the community the community by the solution contains less control. Number of community exchange by a better objective function value is determined automatically. Through simulation and real experimental verification, the algorithm can successfully detect the community structure. Platform: |
Size: 201728 |
Author:齐青萍 |
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Description: In this paper Static Synchronous Compensator
(STATCOM) is used for voltage stability and the
compensation of reactive power. The STATCOM contains an
Insulated Gate Bipolar Transistor (IGBT) based voltage
source converter for voltage control and reactive power
compensation. The STATCOM is used to control the reactive
power with the voltage source converter in combination with a
DC voltage source. The values of the DC link capacitor and
battery source were optimized using the Genetic Algorithm
technique and the simulations results for the same were
observed under the inductive as well as capacitive load
conditions. The comparison of voltage compensation for
various conditions show that the performance of STATCOM
tuned with GA was the best and closest to the nominal value of
voltage. The simulation is done in MATLAB for STATCOM
and Voltage Source Converter (VSC). Platform: |
Size: 391168 |
Author:alok |
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Description: 人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序。在这个电脑中的虚拟市场中，若干被称为交易者的人工智能程序(Agent)通过观察它们所在的数字世界中股价和股息的不断变换而做出预测，并且根据这些预测做出购买股票与否以及购买股票数量的决策。反过来，所有的交易者的决策又决定了股票的价格，这样，整个的股票交易市场就构成了一个自我封闭的计算系统。同时，这些交易者都具有学习的能力，可以根据以前预测的成功或者失败对自己的决策进行调整，并且通过一种被称为遗传算法的方法产生创新能力。总之，ASM是一个电脑中不断进化的虚拟股票市场！通过研究ASM，我们可以更好的理解现实世界的行为，并且它提供了一个很好的现实股市的隐喻。-Artificial Stock Market (Artificial Stock Market, hereinafter referred to as the ASM) is one of the Stock Market operation simulation program. In this computer of virtual market, several known as traders artificial intelligence program (Agent) through the observation of the digital world they are in stock dividend and constantly changing and forecast, and according to the forecast to buy stocks or not and the buying stock number of decisions. In turn, all traders and decided to the decision of the stock price, such, the stock market into a isolation of computing systems. At the same time, these traders are learning ability, and may, according to previously predicted the success or failure of the decision-making adjustment, and through the is called a genetic algorithm method has the innovation ability. In a word, is a computer in the ASM evolving virtual stock market! Through the research ASM, we can better understand the behavior of the real world, and it provides a good reality metap Platform: |
Size: 256000 |
Author:Raven |
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Description: 遗传算法是模拟生物在自然环境中的遗传和进化过程而形成的一种自适应全局优化概率搜索算法。-The genetic algorithm is the simulation of bio-genetic and evolutionary processes in the natural environment and the formation of the probability of an adaptive global optimization search algorithm. Platform: |
Size: 371712 |
Author:零錢 |
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Description: 遗传算法在优化路径中的应用研究，这是MATLAB仿真的源程序。-The genetic algorithm optimization applied research in the path, which is the source of the MATLAB simulation. Platform: |
Size: 433152 |
Author:kimad |
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Description: 自适应遗传算法优化RBF神经网络，粒子群算法优化RBF神经网络仿真结果比较。程序可直接运行-Adaptive genetic algorithm to optimize the RBF neural networks, particle swarm optimization on RBF neural network simulation results compared. Program can be run directly Platform: |
Size: 6144 |
Author:李小芳 |
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Description: 遗传算法的仿真实验，可以运行的，大家可以下载过来运行看看结果。-Simulation of the genetic algorithm, you can run, you can download over to run look at the result. Platform: |
Size: 689152 |
Author:努力 |
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Description: 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. Platform: |
Size: 2048 |
Author:xiaomeng |
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Description: Blind equaliser design using genetic programming.
A blind equalization algorithm based on genetic algorithm was proposed.The simulation results showed that the algorithm had better performances than any other blind algorithm we are already have,namely CMA,SATO,etc Platform: |
Size: 83968 |
Author:abd091 |
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Description: Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware.Using a genetic
algorithm, the network on the hardware is trained to
minimize an energy function based on the maximum likelihood
estimation. Simulation results show that the proposed
equalizers have superior performance to popular CMA blind
equalizers. Platform: |
Size: 149504 |
Author:abd091 |
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Search - genetic algorithm simulation