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source code for artificial bee honey colony algorithm to solve combinational optimization problem-source code for artificial bee honey colony algorithm
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Artificial Bee Colony OPTIMIZATION ALGO
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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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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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人工蜂群算法，模拟蜂群寻蜜的过程可以实现最优化-Artificial bee colony algorithm to simulate the process of honey bee colony optimization can be achieved
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基本人工蜂群算法，带中文注释
可以用来求解优化问题，也可在此基础上改进(Basic Artificial Bee Colony Algorithm with Chinese Notes
Can be used to solve the optimization problem can also be improved on this basis)
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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
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人工蜂群算法，可用于各领域优化，也可进行算法研究，对算法进行改进(artificial bee colony algorithm that can be used for optimization)
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