搜索资源列表
ALO
- 该程序为蚁狮（Antlion）搜索优化算法，ALO，具有比粒子群PSO、遗传算法GA等更优的性能-Antlion optimization algorithm
Mathematical-modeling
- 数学建模课程中的几个小算法，包括蚁群最优化问题算法实例和粒子群最优化问题算法实例。-A few small algorithm of mathematical modeling course, include instances of ant colony optimization algorithm and particle swarm optimization algorithm.
Intelligent-algorithm
- 关于matlab的智能算法相关代码，例如遗传，蚁群神经等-Intelligent algorithm
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.
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.)