资源列表
matlab--tsp tsp问题 旅行商问题 matlab求解
- tsp问题 旅行商问题 matlab求解 遗传算法-TSP problem traveling salesman problem with MATLAB genetic algorithm
MOPSO-matlab
- 多目标粒子群优化算法的matlab版本。最经典的多目标进化算法！ MOPSO-Multi-objective particle swarm optimization algorithm using matlab. MOPSO
MC-Solve
- 野人与传教士问题的求解程序，对N=3，K=2给出正确路径-Savage with the missionary problem solving procedures, N = 3, K = 2 are given the correct path
cPPcmatlabbp
- 奉献BP人工神经网络C＋＋、Fortran、Matlab源码 对编程感兴趣，可以对比学习一下 希望对大家学习神经网络有所帮助-BP artificial neural network dedicated C++, Fortran, Matlab source code of the program are interested in, you can learn what we want to compare neural network learning help
algorithm-based-on-virtual-force
- 基于虚拟力的自组织覆盖算法，实现无线传感器节点在二维平面的有效覆盖，提高节点的覆盖效率和均匀度。-Based on the virtual force of the self- organization covering algorithm, the realization of the wireless sensor nodes in the two-dimensional plane of the effective coverage, improve the efficiency and
vx236
- 虚拟力的无线传感网络覆盖，关于超声波倒车雷达测距的，调试通过可以使用。- Virtual power wireless sensor network coverage, About ultrasonic parking radar ranging, Debugging can be used.
fgivf
- 是国外的成品模型，AHP层次分析法计算判断矩阵的最大特征值,有均匀线阵的CRB曲线。- Foreign model is finished, Calculate the maximum eigenvalue judgment matrix of AHP, There ULA CRB curve.
BBO-xcorr-function--optimizing
- 生物地理遗传算法（BBO）解决XCO0RR函数优化问题-Biogeographic Genetic Algorithm (BBO) solves the problem of optimization of XCO0RR function
AI-book-GA-example
- 人工智能及其应用蔡自兴第五版计算智能部分中遗传算法最优计算的自己编写的求解例题- 39/5000 Réngōng zhìnéng jí qí yìngyòng càizìxìng dì wǔ bǎn jìsuàn zhìnéng bùfèn zhōng yíchuán suànfǎ zuì yōu jìsuàn de zìjǐ biānxiě de qiújiě lìtí Artificial Intelligence and Its Application Cai Zixing s
rwwep
- 经典的灰度共生矩阵纹理计算方法，抑制载波型差分相位调制，独立成分分析算法降低原始数据噪声。- Classic GLCM texture calculation method, Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise.
rh-charge
- 可以实现对蓄电池的恒流充电与切换。对于电池保护很有效果-Can achieve the battery constant current charging and switching, for the battery protection is very effective.
PSO-LSSVM
- 利用改进PSO算法对LS-SVM进行参数优化，参数 和 的取值范围分别为 和 ，粒子种群数量为 25，迭代次数为 100，惯性权重因子 和 取0.9和0.1，学习因子 和 均取2。-The parameters of PS-SVM are optimized by using the improved PSO algorithm. The range of parameters is 25, the number of particles is 25, the number of iterati