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Artificial-Bee-Colony
- 人工蜂群算法解决函数优化问题代码，内含Sphere，rastrigin，rosenbrock等标准测试函数- ABC algorithm coded using MATLAB language*/ /* Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior
Cluster_algorithm
- 群聚算法用来模拟成群结队的动物如蚂蚁，蜜蜂，老鼠，或鱼等的行进。 利用群聚算法实现一群东西在动，但各走各的，看起来不像是协调一致的移动而又目的相同的一种视觉效 果。-Clustering algorithm is used to simulate the hordes of animals such as ants, bees, rodents, fish, or the road. Clustering algorithm using a group of things moving,
ABC-algorithm-coded
- Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees.-Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karabo
DE
- DE算法的改进及其在系统辨识中的应用，de算法 也是蜂群算法-DE algorithm and its application in system identification, de bees algorithm algorithm is also
ABC-Delphi-Codes
- 由Karaboga提出的一种人工智能算法（Delphi版），通过模拟蜜蜂寻找食物的行为的优化方法。它的主要特点是不需要了解问题的特殊信息，只需要对问题进行优劣的比较，通过各人工蜂个体的局部寻优行为，最终在群体中使全局最优值突现出来，有着较快的收敛速度。-The proposed by Karaboga, an artificial intelligence algorithm (Delphi Edition), by simulating the bees to find food behavi
abcbees
- 蜂群算法研究综述，蜂群算法是一种模仿蜜蜂繁殖采蜜等行为的新兴的群智能优化技术，并分析比较了遗传算法蚁群算法粒子群算法和蜂群算法的优缺点适用范围及性能。-Colony algorithm in, a algorithm is a kind of imitation breeding honey bees in the behavior such as emerging group of intelligent optimization technology, and compares the an
ABC
- Matlab的蜂群算法工具箱，内容完整丰富，非常值得学习和收藏。-Bees algorithm in Matlab toolbox full rich content, very worth learning and collectibles.
fengqunsuanfa
- 在ABC 算法中，将人工蜂群按分工分为三种: 采蜜蜂、观察蜂和侦查蜂。引领蜂、跟随蜂用于蜜源的开采，侦查蜂避免蜜源种类过少。其中，采蜜蜂和观察蜂各占一半，并且每一个蜜源仅有一个采蜜蜂工作，即采蜜蜂的数量与蜜源数量相等，用m 表示。算法初始化时随机生成m 个初始解-In the ABC algorithm, artificial bee colony division of labor is divided into three types: mining bees, observation th
Artificial-bee-colony-algorithm
- 人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，具有较快的收敛速度和寻优精度。-Artificial bee colony algorithm is to mimic the behavior of an optimization method proposed by bees, has a faster convergence rate and optimization accuracy.
人工蜂群算法
- 人工蜂群算法(Artificial Bee Colony, ABC)是由Karaboga于2005年提出的一种新颖的基于群智能的全局优化算法，其直观背景来源于蜂群的采蜜行为，蜜蜂根据各自的分工进行不同的活动，并实现蜂群信息的共享和交流，从而找到问题的最优解。人工蜂群算法属于群智能算法的一种。(Artificial bee colony algorithm is a novel optimization algorithm based on swarm intelligence is propos
人工蜂群算法
- 群优化算法之一，模拟蜂群种族特征，优化算法计算(One of the group optimization algorithms to simulate the race characteristics of the swarm of bees and the calculation of the optimization algorithm)