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是属于人工蜜蜂群优化算法的源代码，有助于自此基础上进行编写，和更好理解人工群优化算法-Are artificial bee swarm optimization algorithm source code, written on the basis of help since then, and better understanding of artificial swarm optimization
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AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
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是属于人工蜜蜂群优化算法的源代码，有助于自此基础上进行编写，和更好理解人工群优化算法-artificial bee swarm optimization algorithm source code, written on the basis of help since then, and better understanding of artificial swarm optimization
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蜂群算法的程序，希望能够对大家带来帮助，-artificial bee swarm optimization algorithm source code, written on the basis of help since then, and better understanding of artificial swarm optimization
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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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AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION, Dervis karaboga
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a reseach paper on the modellng of Arrtificial bee swarm optimization techniques employed in tracking and optimization
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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
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In this paper, the design of fractional-order PID controller is considered in order to minimize certain performance indices such as integral absolute error, integral square error and integral time absolute error. The design-construction leads to a hi
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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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人工蜂群是一种智能仿生优化算法，可以作为参考程序进行修改-Artificial swarm is an intelligent biomimetic optimization algorithm that can be modified as a reference program
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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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人工蜂群算法是Karaboga于2005年提出的一种新颖的群集智能优化算法。算法主要模拟智能采蜜行为，蜜蜂根据各自的分工进行不同的采蜜活动(Artificial bee colony algorithm () is a novel swarm intelligence optimization algorithm proposed by Karaboga in 2005. The algorithm mainly simulates the intelligent honey collectin
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ABCPSO(人工蜂群算法与粒子群算法)(ABCPSO (Artificial Bee Colony and Particle Swarm Optimization))
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