搜索资源列表
RSAEncrypter_dotnet11_20060121_sanPack
- rsa算法 rsa算法 -rsa algorithm r sa algorithm r sa algorithm r sa algorithm r sa Algorithm
Hybrid_Genetic_Algorithm_and_Simulated_Annealing.r
- 将适合全局搜索的遗传算法(GA)和适合局部搜索的模拟退火算法(SA)相结合-Hybrid Genetic Algorithm and Simulated Annealing
sa
- VB中最短路径算法的设计思路，并附带源码。-VB in the shortest path algorithm design ideas, and comes with source code.
CS_Based_PR_CW_Radar
- 基于压缩感知的伪随机多相码连续波雷达，为了提高目标信息提取的有效性，采用模拟退火算法对波形进行优化。仿真结果表明了该方法的优越性。-To improve the effectiveness of targets information extraction, the waveform is optimized using Simulated Annealing (SA) algorithm.Simulation results demonstrate the merits of the prop
SAAforTSP
- matlab环境下的模拟退火算法，解决各种最优化问题-SA stp
RSA4_improve
- RSA加密算法进阶，举一反三叙述问题。并提出使用中应该注意的问题。-RRSA advanced encryption algorithms, giving top priority to the problem described. And proposed use should pay attention to. SA encryption algorithm specific practice, through the sample program to achieve its functi
SA
- 遗传算法优化计算的一个例子，可以做参考自变量降维-An example of genetic algorithm to optimize the calculation can be done with reference to the argument dimensionality reduction
Subspace-Methods-for-Joint
- 基于子空间方法的联合稀疏恢复，通过MUSIC算法进行结合测试，给出了测试结果-We propose subspace-augmented MUSIC (SA-MUSIC), which improves on MUSIC such that the support is reliably recovered under such unfavorable conditions. Combined with a subspace-based greedy algorithm, known
A late acceptance hill climbing algorithm
- 通过加入Late Acceptance Strategy，改进了爬山局部搜索算法，该算法在求解某些benchmark函数时，比禁忌搜索和模拟退火等局部搜索算法更好。(by Late Acceptance Strategy, An improved hill climbing local search algorithm is proposed which outperforms Tabu and SA when solving some benchmark functions.)
智能优化算法应用于近红外光谱波长选择的比较研究
- 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an