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蚁群算法是一种用来在图中寻找优化路径的机率型算法。是一种求解组合最优化问题的新型通用启发式方法，该方法具有正反馈、分布式计算和富于建设性的贪婪启发式搜索的特点。通过建立适当的数学模型，基于故障过电流的配电网故障定位变为一种非线性全局寻优问题。-Ant colony algorithm is a method used to find optimal path in the graph the probability-based algorithm. Is a combination of opt
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该算法以全局最优的方式实现盲源分离，程序调用说明：x为观测信号，y为估计信号-The global optimization algorithm to achieve blind source separation approach, the program calls Descr iption: x for the observed signal, y is estimated signals
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This function uses SRP-PHAT with Stochastic Region Contraction (SRC) global-optimization algorithm to locate a single source using a frame of data and M microphones.
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无约束多维极值优化问题，这里提供算法，供大家参考-Multidimensional global optimization problems without constraint, provided here algorithm, for your reference
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牛顿约束及黄金分割法是一种很好的全局寻优算法，利用这种方法可以很好的实现全局寻优，其结果可与遗传算法、模拟退火算法、爬山法等相媲美！-Newton constraints and golden section method is a good global optimization algorithm, using this method can achieve a good global optimization, the result with genetic algorithms, sim
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摘要：人口迁移算法模拟了人口随经济中心而转移和随人口压力增加而扩散的机制。主要针对该算法提出了一种改进的人口迁
移算法。该改进算法通过引入高斯变异算子和最速下降算子来改善人口迁移算法的收敛速度和全局收敛性，并对其收敛性进行了
证明。通过对函数的数值实验测试结果表明，改进的人口迁移算法的全局寻优能力和收敛速度较人口迁移算法均有所提高。
-Abstract: The migration algorithm simulation with the economic centers of p
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Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used whe
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《求解全局优化问题的混合自适应正交遗传算法》一文的源码，见软件学报2010年第6期的文章。该代码中的自适应正交叉遗传算子有极强的搜索能力，特别适合高维工程函数模型的优化，如机器人多自由度的数学模型优化。虽然本人虽已不从事什么学术上的研究，但若你借鉴了其中的代码或者思想，请把该文献加入到你的参考文件中，谢谢。-" Global Optimization Problem with adaptive orthogonal genetic algorithm," a source te
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种子优化算法，能实现全局寻优，具有很高的效率。-Seed optimization, global optimization can be achieved with high efficiency.
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本文描述了最优化问题的基本概念、分类和通常的求解方法，全局最优化在特定领域里德最近发展，同时简单介绍了几个优化软件-This paper describes the basic concepts of optimization problems, classification and the usual method for solving global optimization of recent developments in specific areas Reid also introdu
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模拟退火fortran程序,可以根据优化函数设置参数-C Simulated annealing is a global optimization method that distinguishes
C between different local optima. Starting from an initial point, the
C algorithm takes a step and the function is evaluated. When minimizin
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In this thesis, we develop constrained simulated annealing (CSA), a global optimization algorithm that asymptotically converges to constrained global minima with probability one, for solving discrete constrained nonlinear programming problems-In this
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UbW
遗传算法是近几年发展起来的一种崭新的全局优化算法， 针对 问题，编码规则通常是取 进制编码 ，即每个基
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它借用了生物遗传学的观点，通过自然选择、遗传和变异等作 因仅从 到 的整数里面取一个值，每个个体的长度为 ，为 -UbW genetic algorithm is developed in recent years, a new global optimization algorithm, solve the probl
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Simmulated annealing is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space.
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Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple
maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated
annealing solvers. You can u
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Covering both passive and active RFID, the challenges to RFID implementation
are addressed using specific industry research examples as well as common
integration issues. Key topics such as performance optimization and evaluation,
sensors, netw
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阐述了粒子群算法的基本原理,探讨了在MATLAB环境中实现粒子群算法的编程方法,构建粒子群算法工具箱函数,通过仿真示例验证了该方法的有效性,表明它能够对函数进行全局优化。-Describes the basic principles of particle swarm algorithm discussed in the MATLAB environment to achieve particle swarm programming, particle swarm optimization to
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Optimization queries form an important part of real world DBSs. Researches in global query optimization have been scarce compared to other issues (such as schema integration) due to the unavailability to reliable cost estimate for autonomous DBCs. Th
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本程序将遗传算法应用于背包问题。借助了大自然的演化过程,是多线索而非单线索的全局优化方法,采用的是种群和随机搜索机制. -This procedure will be applied to knapsack problem genetic algorithm. With the evolution of nature, is more than a single clue leads the global optimization method, using population and ran
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遗传算法的原理及MATLAB 环境中实现遗传算法各算子的编程方法,并以一个简单的实例说明所编程序在函数全局寻优中的应用。-The principle of genetic algorithms and genetic algorithms MATLAB environment to achieve the programming method of the operator, and a simple example shows the function of the programmed ap
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