Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross - (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications Platform: |
Size: 16633 |
Author:张正 |
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Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications Platform: |
Size: 16384 |
Author: |
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Description: 几何偏微分方程方法应用于曲线演化的一个小程序，这里是一个matlab的源程序，不是十分复杂，显示了一个哑铃形状的曲线演化的过程-geometric partial differential equations method has been applied to the evolution of the curve of a small program here is a source of Matlab, is not very complex, and shows a dumbbell-shaped curve of the evolutionary process Platform: |
Size: 1024 |
Author:贺静芳 |
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Description: 将博弈理论与演化算法结合起来，开发了一种新进化优化的算法-of Game Theory and combining evolutionary algorithm, the development of a new evolutionary optimization algorithm Platform: |
Size: 1024 |
Author:刘伟兵 |
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Description: 改进的水平集方法，采用C_V模型进化。为多相位-improve the level set method, C_V evolutionary model. For the multi-phase Platform: |
Size: 9216 |
Author:kevin |
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Description: 针对TSP问题，提出了一种改进的遗传算法。在遗传算法中引入进化算法的思想，在此基础上提出顶端培育策略和分阶段策略，以求在保证群体多样性的同时加快收敛速度。-against TSP, an improved genetic algorithms. Genetic Algorithm evolutionary algorithm introduced the idea that the basis of this proposed strategy and cultivating top phased strategy groups in order to ensure diversity at the same time speed up the convergence. Platform: |
Size: 9216 |
Author: |
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Description: 基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-evolutionary algorithm based on the multi-objective optimization to written Matlab program, please refer to reference Platform: |
Size: 371712 |
Author: |
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Description: 对多目标优化算法NSGA-II算法的改进，该算法进化代数少，但是获得的最终效果特别好！-pair of multi-objective optimization algorithm NSGA-II algorithm, the algorithm evolutionary less algebra, However, the ultimate effect was particularly good! Platform: |
Size: 3072 |
Author:xixilee |
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Description: 该算法是用于量子运算的matlab程序，包括声称量子态，量子寄存器等-the algorithm for quantum computation Matlab procedures, including the claim that quantum states, such as Quantum Register Platform: |
Size: 92160 |
Author:王黎 |
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Description: 多目标优化进化算法目前公认效果收敛性最好的算法NSGA2源码，内有多目标算法的工具箱，对实现其他多目标优化算法很有帮助-Multi-objective optimization evolutionary algorithm is currently recognized as the effect of convergence of the algorithm NSGA2 best source, with a number of target algorithm toolbox for achieving the other multi-objective optimization algorithm for helpful Platform: |
Size: 370688 |
Author:wy |
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Description: 演化算法的一个简单迭代程序，运行后可以看见迭代1000代的结果，权威提供。-Evolutionary algorithm, a simple iterative procedure can be seen running after the iterative generation of the results of 1000, authority to provide. Platform: |
Size: 3072 |
Author: |
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Description: 这是一本讲微分进化的书，进化算法是以遗传算法为代表的一类随机算法的总称，95年由Rainer Storn和Kenneth Prici提出微分进化方法，比传统进化算法更好更简单，2004年该方法的原创者出版了长达580页的微分进化：一种全局优化的实用方法，本书是英文版，似乎还没有中文版，希望对感兴趣的人有用-This is a book stresses differential evolution, evolutionary algorithm based on genetic algorithm to represent a class of random algorithm collectively, 95 by Rainer Storn and Kenneth Prici proposed differential evolution approach, better than the traditional evolutionary algorithm simpler, 2004 The method of the originators of the publication of up to 580 of the differential evolution: A practical method for global optimization, this book is the English version seems to have been the Chinese version, in the hope that people interested in useful Platform: |
Size: 9848832 |
Author:plow |
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