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!
antcolonyoptimization
- 介绍了蚁群算法解决具体问题的优化算法，实践证明效果很好-on the ant colony algorithm for solving specific problems Optimization Practice has proved very effective
tsp
- 解决商旅问题的蚁群优化算法，里面有具体代码段的及时的注释，方便理解与结合问题的修改-ant colony optimization for the problem of tsp
Ant-colony-algorithm
- 蚁群算法c语言程序，详细介绍了蚁群优化算法的过程，可以运行-Ant colony algorithm c language program, the paper introduces the process of ant colony optimization algorithm, can run
ACO
- 标准蚁群优化算法源程序，可直接运行使用，算法简单-problem of VRP
matlab-8.1
- 电力潮流蚁群优化算法，用于解决潮流优化问题，强力推荐-Power flow ant colony optimization algorithm for solving the power flow optimization problem, a strong recommendation
ACO-feature-selection
- 蚁群优化算法，可用于特征选择，适用于模式识别-Ant colony optimization algorithm can be used for feature selection for Pattern Recognition
matlabaoc
- 自1991年由意大利学者 M. Dorigo，V. Maniezzo 和 A. Colorni 通过模拟蚁群觅食行为提出了一种基于种群的模拟进化算法——蚁群优化。-ant colony optimization, ACO
ANT-GA-PSO
- 将蚁群优化算法与粒子群优化算法进行组合，并利用遗传算法的交叉操作与变异操作对粒子多样性进行改进，提高全局优化效率，并配有实例演示。-The ant colony optimization algorithm and the particle swarm optimization algorithm are combined, and the genetic algorithm is used to improve the diversity of the particles.
MATLAB智能算法(遗传_神经网络_蚁群_免疫)
- 针对matlab中智能算法工具箱求解多目标函数问题是用遗传算法工具箱更加方便的计算多约束优化问题。(Aiming at the problem that multi-objective function is solved by using the intelligent algorithm toolbox in matlab, it is more convenient to calculate multi-constrained optimization problem with genet
ACO-master
- 从数据学习贝叶斯网络结构的蚁群优化实现 matlab平台下(Ant Colony Optimisation implementation for learning Bayesian Network structures from data)
yiqun
- 可以通过修改.mat文件中的数据来实现路径优化问题(You can modify the data which in city_data.mat to resolve logistics paths optimization problems.)
matlab程序
- 混合优化核参数(Hybrid optimization of kernel parameters)
8593ec8fa2e2
- 有效解决旅行商问题，与遗传算法相互结合。优化路线(Solve the traveling salesman problem effectively)
ACS
- 最大最小蚁群算法寻优优化，对路径的距离进行优化。(The algorithm optimizes and optimizes the maximum and minimum ant colony algorithm, and optimizes the distance of the path.)
ant-colony-optimization
- 蚁群优化是一组概率性元启发式算法和智能优化算法，受蚂蚁社会行为的启发。(Ant Colony Optimization (ACO) are a set of probabilistic metaheuristics and an intelligent optimization algorithms, inspired by social behavior of ants.)
智能优化算法及其matlab实例code
- 遗传算法 粒子群 蚁群等7种算法，可解决求极值问题以及旅行商问题(Genetic algorithm, particle swarm optimization and ant colony algorithm can solve extreme value problem and traveling salesman problem. 7 algorithms are used to solve extreme value problem and traveling salesman probl
QACO
- 量子蚁群优化算法，用于求解复杂优化问题~(Quantum ant colony optimization algorithm for solving complex optimization problems~)
ga_aco_opt_on_anfis_svm-master
- 利用遗传算法、蚁群算法、PSO等对SVM模型进行优化，实现高效分类和回归预测(The SVM model is optimized by genetic algorithm, ant colony algorithm and PSO to achieve efficient classification and regression prediction.)
GA_matlab
- 遗传算法(GeneticAlgorithm,GA)是一种基于进化论优胜劣汰、适者生存的物种遗传思想的搜索算法。20世纪50年代初，由于一些生物学家尝试用计算机模拟生物系统，从而产生了GA的基本思想。美国密执根大学的霍勒德(J.H.Holland)于20世纪70年代初提出并创立了遗传算法。遗传算法作为一种解决复杂问题的崭新的有效优化方法，近年来得到了广泛的实际应用,同时也渗透到人工智能、机器学习、模式识别、图像处理、软件技术等计算机学科领域。(exmple:quest the maximum va