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monituihuo
- 为模拟退火算法的全部程序，模拟退火算法为现代优化算法的经典算法-the program write by lin ,svm
SimulatedAnnealing
- 社会网络影响最大化问题中的模拟退火算法，是格局爬上算法的一种优化算法，用于社会网络分析.-Social network influence maximization problem in simulated annealing algorithm, is a kind of pattern climb algorithm optimization algorithm, for social network analysis.
Sa_network
- 基于模拟退火算法Fortran 语言编写的宽带天线匹配网络的设计程序。其用法是将天线设计的频率点和阻抗值（包括实部和虚部）生成一个文件，程序读此文件，便可以优化出最优匹配网络数值。- A wideband antenna matching network Program,based on simulated annealing algorithm is written in Fortran One generates a file,which contain the frequency a
SA
- SA模拟退火算法，解决了函数优化问题，只要改变目标函数就可以对不同的函数进行优化。-SA simulated annealing algorithm to solve the function optimization problem, just change the objective function can be optimized for different functions.
SAA-for-0-1-problem
- 使用模拟退火算法智能求解0-1路径优化问题！-Simulated annealing algorithm for solving 0-1 selectivity problem!
jiyuP2Pliumeiti
- 针对P2P模式下视频流媒体直播系统的数据传输策略用改进的模拟退火算法进行了优化。以全局规划的思想建立了P2P视频流媒体的数据传输策略数学模型VMDTSA_P2P,模型充分考虑了可用出口带宽和可用性时间对播放连续性的影响。-Strategies for data transfer mode P2P video streaming system with improved simulated annealing algorithm optimization. To the idea of globa
muiming
- LCMV优化设计阵列处理信号，相关分析过程的matlab方法，基于混沌的模拟退火算法。- LCMV optimization design array signal processing, Correlation analysis process matlab method, Chaos-based simulated annealing algorithm.
zz
- matlab程序，模拟退火算法，用于解决优化问题，效果明显-matlab program, simulated annealing algorithm for solving optimization problems, the effect is obvious
MainAneal
- 模拟退火算法 是一种性能很不错的优化算法-simulated annealing algorithm，A relatively good optimization algorithm Can be combined with a variety of optimization algorithm together
Sim_PSO
- 一种改进的基于模拟退火的粒子群算法(SimPSO)。将模拟退火算法的思想引入粒子群算法中,并对更新公式进行优化-An improved particle swarm optimization algorithm based on simulated annealing (SimPSO). The simulated annealing algorithm is introduced into the particle swarm optimization algorithm, and the u
heimeng
- LCMV优化设计阵列处理信号，基于混沌的模拟退火算法，复化三点Gauss-lengend公式求pi。- LCMV optimization design array signal processing, Chaos-based simulated annealing algorithm, Complex of three-point Gauss-lengend the Formula pi.
fengleng_v21
- 基于混沌的模拟退火算法，计算十字叉丝的在不同距离的衍射图像,包含优化类的几个简单示例程序。- Chaos-based simulated annealing algorithm, Calculation crosshairs diffraction image at different distances, Optimization class contains several simple sample programs.
SimulatedAnneal
- 我们尝试用模拟退火算法来求解函数优化问题。 给出下面这个函数优化问题 已经知道该优化问题的全局最小值为0，在点（1,1）处取得。 其函数图像为 -We try to use simulated annealing algorithm to solve function optimization problems. Gives the following function optimization problem optimization problem already
liziqunsuanfa
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它
monituihuo
- 本实验提出了一类适用于连续函数全局优化问题的模拟退火算法，采用直接产生新解的方法求解De Jone函数的局部最小值，输出最优解和最小值。-In this paper, we propose a class of simulated annealing algorithm which is suitable for the global optimization of continuous functions. We use the method of generating new solutio
menyan_v81
- 包含优化类的几个简单示例程序，基于混沌的模拟退火算法，直线阵采用切比学夫加权控制主旁瓣比。- Optimization class contains several simple sample programs, Chaos-based simulated annealing algorithm, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
mingnai
- 基于混沌的模拟退火算法，LCMV优化设计阵列处理信号，已经调试成功.内含m文件，可直接运行。- Chaos-based simulated annealing algorithm, LCMV optimization design array signal processing, Has been successful debugging. M contains files can be directly run.
teng
- 是机器学习的例程，LCMV优化设计阵列处理信号，基于混沌的模拟退火算法。- Machine learning routines, LCMV optimization design array signal processing, Chaos-based simulated annealing algorithm.
Annealed-PSO-program
- 模拟退火算法，一种优化算法，功能十分强大，功能有：优化，预测，拟合，非线性分析-Simulated annealing algorithm, an optimization algorithm, the function is very powerful, the function is: optimization, prediction, fitting, nonlinear analysis
mathematical modeling
- 文件包含了多种现代优化算法，如神经网络，模拟退火，禁忌搜索等智能算法。同时还有一些数学建模的相关的matlab实现。(The document contains a variety of modern optimization algorithms, such as neural networks, simulated annealing, tabu search and other intelligent algorithms. At the same time, there are some