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[OtherMultiobjectvie-Genetic-Algorithm

Description: 有关多目标优化问题的遗传算法的基本理论方法的硕士论文,相关领域的大家可以参考一下-Multi-objective optimization problems related to genetic algorithms basic theories and methods of the master' s thesis and related fields that we can reference
Platform: | Size: 2309120 | Author: meimei | Hits:

[JSP/JavaGA

Description: 遗传算法在求解多约束条件下的组合优化问题有独特优势,本代码是关于用遗传算法解决智能组卷问题的好例子。-Of genetic algorithm in solving the multi-constrained optimization problem under the condition of a unique combination of advantages, this code is on the use of genetic algorithm to solve the problem a good example of Intelligent Test Paper.
Platform: | Size: 19448832 | Author: keka | Hits:

[Other9

Description: 给予免疫遗传算法的QOS路由选择问题,给予免疫遗传算法的多目标优化问题-Immune genetic algorithm for QOS routing problem, the immune genetic algorithm for multi-objective optimization problem
Platform: | Size: 6144 | Author: 路杨 | Hits:

[CSharpGA

Description: 基于免疫遗传算法的QOS路由选择问题 给予免疫遗传算法的多目标优化问题 -Immune genetic algorithm based QOS routing problems provide the immune genetic algorithm for multi objective optimization problem
Platform: | Size: 242688 | Author: 路杨 | Hits:

[Windows DevelopMulti-objective_optimization_algorithm

Description: 基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,多目标优化算法已有的研究大多为 算法的设计和数值实验效果的比较,理论研究则很少,本文作者给出了一种求解多目标优化问题的新遗传算法 (RMOGA) ,并用Markov 链的理论对RMOGA 的收敛性进行了研究,其结果表明RMOGA 依概率收敛到问题的 Pareto 前沿面-Population-based genetic algorithm search for multi-objective optimization problem has unique advantages, multi-objective optimization algorithm Yiyou of mostly numerical algorithm design and comparison of experimental results and theoretical studies are few, given for solving this author The new Multi-objective Genetic Algorithm Optimization Problems (RMOGA), and use Markov chain theory RMOGA the convergence of the studies, the results show that the convergence in probability to RMOGA problem Pareto frontier
Platform: | Size: 3632128 | Author: hello | Hits:

[AI-NN-PRCsharp-Genetic-Algorithm--

Description: 一个简单的遗传算法在c#。它将不会多线程,也有异国情调的操作人员和收敛标准(例如一种情形发现许多解决方法是非常相似的)。它只是证明遗传算法在托管代码,利用的一些特点。net的运行时间。 -A simple genetic algorithm in c#. It will not be multi-threaded, there are also exotic operators and convergence criteria (for example, found that many solutions to a situation is very similar.) It just proved that genetic algorithm in managed code, the use of some of the features. net running time.
Platform: | Size: 39936 | Author: zsepy | Hits:

[JSP/JavaMulti

Description: genetic algorithm multi objective Full Code using Java
Platform: | Size: 21504 | Author: krishnan | Hits:

[AI-NN-PRMulti-objective-optimization-GA

Description: 基于多目标优化遗传算法的用于电火花机床参数优化的matla程序源代码。-Multi-objective optimization genetic algorithm (for edm parameters optimization)
Platform: | Size: 3072 | Author: 读几年 | Hits:

[MPIgenetic-algorithm

Description: 计算机学报,通过对多维解析函数的重复计算并对计算结果进行统计分析来讨论 遗传算法的可靠性和可信度。本文含金量高。-Computer Science, through the multi-dimensional analytic functions of double counting and statistical analysis of the results to discuss the reliability and credibility of the genetic algorithm. This high gold content.
Platform: | Size: 287744 | Author: huangxi | Hits:

[OtherReactive-Power-and-Genetic-Algorithm

Description: 基于改进遗传算法的多目标无功优化,浙江大学-Improved Genetic Algorithm-based multi-objective Reactive Power Optimization
Platform: | Size: 324608 | Author: gc | Hits:

[matlabCultural-and-genetic-algorithm

Description: 基于文化遗传算法实现雷达组网覆盖,针对多目标情况-Cultural and genetic algorithm-based radar network coverage for multi-target
Platform: | Size: 1056768 | Author: wangding | Hits:

[Othergenetic-algorithm--

Description: 遗传算法解决Multi-constrained routing (MCR)问题-A genetic algorithm for finding a path subject to two constraints
Platform: | Size: 477184 | Author: 王静 | Hits:

[AI-NN-PRAdaptive-genetic-algorithm

Description: 本文介绍了基于多峰搜索的遗传算法的实现,选择最优解。-This paper based on the multi peak searching genetic algorithm,optimal solution。
Platform: | Size: 254976 | Author: | Hits:

[matlabMulti-population-genetic-algorithm

Description: 多种群遗传算法的函数优化算法,利用多个种群同时优化,提高遗传算法效率。-Multi-population genetic algorithm function optimization algorithm, the use of multiple populations simultaneously optimize and improve the efficiency of genetic algorithm.
Platform: | Size: 4096 | Author: 钟丁建 | Hits:

[AI-NN-PRGenetic-Algorithm

Description: 本例应用遗传算法实现了对于一些非线性、多模型、多目标的函数优化问题,用其它优化方法较难求解,而遗传算法可以方便的得到较好的结果。-In this case the genetic algorithm is applied to implement for some nonlinear, model, multi-objective function optimization problem, with other optimization methods are difficult to solve, and the genetic algorithm can easily get good results.
Platform: | Size: 3072 | Author: 周建 | Hits:

[matlabReal-Coded-Genetic-Algorithm-for-Robust

Description: Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscillations. In this paper, real-coded genetic algorithm (RCGA) optimization technique is applied to design robust power system stabilizer for both singlemachine infinite-bus (SMIB) and multi-machine power system. The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.-Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscillations. In this paper, real-coded genetic algorithm (RCGA) optimization technique is applied to design robust power system stabilizer for both singlemachine infinite-bus (SMIB) and multi-machine power system. The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.
Platform: | Size: 470016 | Author: ali | Hits:

[Documentsgenetic-algorithm-

Description: 基于均匀设计的多目标自适应遗传算法及应用-Adaptive genetic algorithm based on multi-objective uniform design
Platform: | Size: 279552 | Author: 田雨橙 | Hits:

[Special Effectsgenetic-algorithm-waveletdenoising-

Description: 针对噪声在多小波分解后的尺度性以及图像本身的特性, 提出了一种基于遗传算法的多小波自适应去噪算 法, 该方法能通过遗传算法自适应地寻求去噪后图像的最小均方误差.实验结果表明, 该算法优于传统算法, 不仅 能有效滤除图像的噪声,而且能较好地保留图像的边缘信息, 具有更加理想的去噪效果-For noise characteristics of multi-scale wavelet decomposition of the image itself and the proposed multi-wavelet de-noising algorithm based on adaptive genetic algorithm, the method by adaptive genetic algorithm to seek the minimum mean square image de-noising Error experimental results show that the algorithm is superior to traditional methods, not only can effectively filter out the noise of the image, but also better preserve the image edge information, with more ideal denoising effect
Platform: | Size: 293888 | Author: happy | Hits:

[source in ebookMulti--objective-based-on-GA)

Description: 多目标规划Multi objective planning based on genetic algorithm-Multi objective planning based on genetic algorithm
Platform: | Size: 15360 | Author: 他里雾 | Hits:

[OtherMATLAB-based-genetic-algorithm

Description: 基于MATLAB的遗传算法。遗传算法是以自然选择和遗传理论为基础,将生物进化过程中适者生存规则与群体内部染色体的随机信息交换机制相结合算法。它提供了一种求解非线性、多模型、多目标等复杂系统优化问题的通用框架。-MATLAB Genetic Algorithms. Genetic algorithm based on natural selection and genetic theory, the process of biological evolution and the survival of the fittest rules of random information exchange mechanism within the group chromosome combined algorithm. It provides for solving nonlinear, multi-model, multi-objective optimization problems of complex systems such as a common framework.
Platform: | Size: 9704448 | Author: 梁家理 | Hits:
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