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国外蜂群算法(Artificial Bee Colony Algorithm ,ABC)源码,Artificial Bee Colony Algorithm
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Training Artificial Neural Network.
XOR Problem.
Summation Units, Log-Sigmoid Neurons with Biases.
Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons.
Returns mean square error between desired and actual outputs.
Reference Pape
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Artificial Bee Colony OPTIMIZATION ALGO
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应用matlab编写的人工蜂群算法智能优化-Intelligent Optimization of application matlab prepared artificial bee colony algorithm
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基于人工蜂群算法(artificial bee colony algorithm)的聚类优化算法-Clustering optimization algorithm based on artificial bee colony algorithm
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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. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithm
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Economic load dispatch using Artificial bee colony optimization
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人工蜂群算法在函数优化上的应用 matlab 应用仿真 函数优化-Artificial bee colony algorithm application in function optimization matlab simulation function optimization
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原始人工蜂群算法求解无约束优化问题,改进了原始算法获得了更好的优化性能-original artificial bee colony algorithm
for solving unconstrained optimization problems,we modified this algorithm and obtain a better performance
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人工蜂群算法改进版,非常典型,非常适合用于寻优-Artificial bee colony algorithm is an improved version, very typical, very suitable for optimization
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Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga,
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Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga,
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ABC 算法已经成功应用于人工神经网络训练、组合优化、电力系统优化、系统和工程设计等多个领域。近年来,ABC 算法得到了学术界的广泛关注,但由于提出时间较晚,目前的研究成果比较分散且缺乏系统性。-ABC algorithm has been successfully applied artificial neural network training, combinatorial optimization, power system optimization, multiple field sy
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abc optimization for a sphere
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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
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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.
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In computer science and operations research, the artificial bee colony algorithm (ABC) is an optimization algorithm based on the intelligent foraging behaviour of honey bee swarm, proposed by Karaboga in 2005.[1]
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人工蜂群算法解决优化问题,为求解函数和路径规划提供方法-The artificial swarm algorithm solves the optimization problem and provides a method for solving function and path planning
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Artificial bee colony optimization
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Artificial bee colony optimization for matlab
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