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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-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
- ABC algorithm. an evolutionary algorithm for solving optimization problems that id inspired of honey bees foraging.
ABC-algo
- A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An
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
ABC
- 改进版的人工蜂群算法，包含了测试函数，可以运行的。-ABC algorithm coded using MATLAB language，Artificial Bee Colony (ABC) is one of the most recently defined algorithms by DervisKaraboga in 2005, motivated by the intelligent behavior of honey bees
HKWEQHUIEBDSJK
- MATLAB训练用的智能算法,有遗传蚁群蜂群各中若干 -Intelligent algorithm based on MATLAB training to use, there are a number of genetic ant colony of bees in each
BA
- 蜜蜂算法解决有效的解决旅行商问题，bee algorithm-Bees algorithm to solve effectively solve the traveling salesman problem, bee algorithm
kumar2015
- In this paper optimal location and capacity of Unified Power Flow Controller to improve the power system stability using hybrid technique composed of ABC-GSA algorithms is proposed. Here, the maximum power loss bus is identified as the most s
Bee-algorithmeedgedetection
- Proposed edge detection method based on bee colony algorithm. Utilization Characteristics colony algorithm for image boundary quick search, too To a group of local optima, and then were local minima to start the search, to find the edge of the imag
ABC
- ABC algorithm is Artificial bee colony used to imitate swarm behaviour of honey bees
Parallel-Artificial-Bee-Colony-(PABC)-Algorithm--
- The artificial bee colony (ABC) algorithm is a metaheuristic algorithm for numerical optimization. It is based on the intelligent foraging behavior of honey bees. This paper presents a parallel version of the algorithm for shared memory archi
ABC
- 人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，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。-Artificial colony algorithm is to imitate the bee behavior put forward an optimization method，Only need to compare advantages and disadvantages of problem， Through the l
altificial-bee-colonyalgorithm
- 人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，是集群智能思想的一个具体应用，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。-Artificial bee colony algorithm is an optimization technique to mimic the behavior of bees make is thinking of a particular cluster of
fengqunsuanfaPID
- 针对工业控制中常用的PID控制器参数整定困难的问题,提出一种基于人工蜂群算法的参数整定方法。将PID控制器待整定参数看作蜜源,利用蜂群特有的角色转变机制搜索优质的参数组合 选取绝对误差矩积分性能指标作为参数寻优的目标函数。仿真实验结果表明,所采用的算法能够提高控制系统的动态性能,增强系统的快速性和稳定性,适用于PID控制器的自整定。 -For industrial control commonly used in PID controller tuning difficult problem
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.
ABCalgoritmo
- ABC Algorithm in c, 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.
8a84c82850579e3a5e0d221bf92f63b1ffd5
- The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is biologically inspired method that explores collective intelligence applied by the honey bees during nectar collecting process. In this paper we