搜索资源列表
ACS(c++)
- 蚁群算法是新近出现的一种智能优化算法，是求解组合优化问题的又一种好的方法！-ant colony algorithm is a newly emerging intelligent optimization algorithm, the solution is the combinatorial optimization problems also a good way!
Python-for-PSO-algorithm
- Python实现的粒子群优化算法源代码，需要引用到Numpy，需要对自定义问题进行优化只需要更改f6函数即可，智能算法本身的参数亦可以自行设定。-Python implementation of the PSO algorithm source code, you need to refer to Numpy, Custom issues need to be optimized to only need to change the f6 function, the smart algorith
SIALAB
- 此代码是有关群智能优化算法的集合平台，集成了遗传算法、微粒群算法和蚁群算法的BenchMark优化问题以及TSP问题的求解。-This code is related to group a collection of intelligent optimization algorithm platform, integrating the genetic algorithm, particle swarm optimization and ant colony optimization algor
wangzhan
- 智能优化算法（蚁群算法，模拟退火退火算法，遗传算法,等）-Intelligent optimization algorithm (ant group, annealing, genetic algorithm and so on)
PSO-and-HS--
- 结合粒子群优化算法和和声搜索算法的优点，有效将群智能思想和随机全局搜索相融合，在几个函数优化问题中得到了验证 -Combining particle swarm optimization algorithm and harmony search algorithm advantage, effective will swarm intelligence thought and random global search phase fusion, in several function opt
ant
- 蚁群算法是经典的优化智能算法，能找到的最短路径。-The ant colony optimization algorithm is the classic intelligent algorithm can find the shortest path.
spiral_dyn
- 基于结构优化的现代智能优化算法（遗传算法，蚁群算法，神经网络算法）-Modern intelligent optimization algorithm based on structural optimization (genetic algorithm, ant colony algorithm, neural network algorithm)
Chared ICA Code
- 受帝国主义殖民竞争机制的启发，Atashpaz-Gargari和Lucas于2007年提出了一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地同化机制和帝国竞争机制而形成的一种优化方法。ICA也是一种基于群体的优化方法，其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地)向最优国家(帝国主义国家)靠近，该过程类似于PSO。帝国竞争机制
CCPSO_ISM_test
- 粒子群算法，智能优化算法，信息共享粒子群算法-ccpso-ism(Particle swarm optimization algorithm CCPSO-ISM)
UPSO_test
- 粒子群算法，智能优化算法，解决全局优化问题，upso(Particle swarm optimization algorithm UPSO)
PSO_test
- 粒子群算法，智能优化算法，全局优化问题，pso(Particle swarm optimization algorithm PSO)
CLPSO_test
- 粒子群算法，智能优化算法，全局优化问题，CLPSO(Particle swarm optimization algorithm CLPSO)