资源列表
lmn4op.ZIP
- 一种含分布式发电系统的三相配电网潮流直接算法A containing distributed generation system three phase power flow algorithms directly-A containing distributed generation system three phase power flow algorithms directly
Zhejiang-Universitys-ACM-models
- 浙大的ACM代码模版，供ACMer使用和参考-Zhejiang University s ACM models，for acmers to use
K-Means-Clustering
- k-means聚类算法讲解，详细阐述了K-means的原理和应用-K-means interpretation of the clustering algorithm, and expounds the k-means of principle and application
TSP-ant-algorithm
- 可以使用蚁群算法求解tsp路径问题，源码简单易懂，且可以在matlab平台上运行-use ant algorithm to solve tsp problem，the code is easy to understand and it can run on the matlab platform
ABC-algorithm-matlab-code
- 蜂群算法是最近出现的一种仿生算法，它的效率比蚁群算法要高。-ABC algorithm is coming up recently，it simulate the bird，its effection is higher than ant algorithm
d4ef13.ZIP
- EFBS数据交换模型与完整性检查机制EFBS data exchange model and integrity checking mechanism-EFBS data exchange model and integrity checking mechanism
1xy7z.ZIP
- Web质量模糊评测矩阵的一致性判定Web quality fuzzy evaluation matrix consistency test-Web quality fuzzy evaluation matrix consistency test
Downloads
- ga algorithme and also the merge algorithm
0-1-knapsack-problem-solution
- 这是一个关于0-1背包问题算法的编程实现，包括了动态规划、分支界限、回溯、贪心算法-This is a 0-1 Knapsack Problem programming, including dynamic programming, branch and bound, backtracking, greedy algorithm
yichuansuanfa
- 本演示程序模拟了在二维面板上随机排布的任意数量的个体,向适应度最高的属性值进化的过程。-This demo program to simulate any number of individuals randomly arranged in the two-dimensional panel, to adapt to the evolution of the highest property values .
PSO
- 本演示程序模拟了在二维面板上随机排布的任意数量的微粒,向目标聚集的过程。蓝色微粒构成一个微粒群；群落中的个体通过对自身的认知和与其他个体的交互判断飞行的速度和方向，逐步靠近目标。这是一个典型的微粒群优化过程。-This demo program to simulate the random arrangement of any number of particles in the two-dimensional panel, the aggregation process to the targ
AHPSO
- 为提高粒子群算法的寻优精度，提出一种将单纯形法(SM)与粒子群(PSO)算法相结合的自适应混合粒子群优化(AHPSO)算法。-To improve the accuracy of the particle swarm optimization algorithm, a simplex method (SM) and particle swarm (PSO) algorithm combining the adaptive hybrid particle swarm optimization (A