人工蜂群算法(abc)是一种基于蜜蜂行为的优化算法。
Artificial bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm.
目前提出的群智能优化算法有蚁群优化算法、粒子群优化算法、人工鱼群算法、人工蜂群算法。
The swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
在动态不确定环境下，本文提出了结合时间滚动窗口与人工蜂群算法的移动机器人路径规划方法。
In a dynamic uncertain environment, this paper presented a path planning method combined time rolling window and artificial bee colony algorithm for mobile robot.
根据带时间窗车辆路径问题的实际情况，通过考察车辆数和总行程两个目标函数，给出了该问题的一种新的算法——蜂群算法。
This paper proposed a new algorithm, wasp colony algorithm, for VRPTW through comparing the two target function vehicle number and total distance.
为了准确快速评定平面度误差，提出将改进人工蜂群(MABC)算法应用到平面度误差最小区域评定中。
In order to realize fast and accurate evaluation for flatness error, a Modified Artificial Bee Colony (MABC) algorithm is proposed to implement the minimum zone evaluation of flatness error.
为了准确快速评定平面度误差，提出将改进人工蜂群(MABC)算法应用到平面度误差最小区域评定中。
In order to realize fast and accurate evaluation for flatness error, a Modified Artificial Bee Colony (MABC) algorithm is proposed to implement the minimum zone evaluation of flatness error.
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