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- different speed ant colony 运动速度不同的蚁群
- To overcome the default of slow convergence speed,precocity and stagnation in the basic ant colony Algorithm(ACA),we proposed an Efficient Ant Colony Algorithm(EACA). 摘要 为了克服基本蚁群算法求解速度慢、易于出现早熟和停滞现象的缺陷,提出了一种高效的蚁群算法(EACA)。
- The simulation results on several TSPs with different sizes shows that the algorithm has much higher stability than that of classical ant colony algorithm. 数值模拟表明,该算法可以有效地克服基本蚁群算法容易出现停滞现象的缺陷,具有更好的全局搜索能力和稳定性。
- To speed up the convergence of GA,the positive feedback from the Ant Colony Optimization(ACO) is introduced to the crossover operation and the mutation operation. 算法还借鉴蚁群算法思想,在交叉、变异算子中引入了正反馈机制,以提高算法的收敛速度。
- A godless net muting with ant colony algorithm for IC design is presented. 本文提出了一种基于蚁群算法的集成电路无网格布线算法。
- An organism,such as a beetle,that habitually shares the nest of an ant colony. 蚁冢动物习惯居住在蚂蚁巢中的有机体,如甲壳虫
- Ant colony algorithms are robust and adaptable as novel optimization methods. 蚁群算法作为一种新型的优化方法,具有很强的鲁棒性和适应性。
- Ant colony algorithm is an intelligent clustering analysis methodology. 蚁群算法是一种智能聚类分析方法。
- The different speed for each direction gives it the asymmetric label. 在每个方向有不同速度使它得到了不对称的招牌。
- Ant colony algorithm possesses powerful ability in searching better solutions coexisting with the disadvantages such as easily immersing into stagnation, slow convergence speed and so on. 摘要蚁群算法具有较强的发现较好解的能力,但同时也存在一些缺点,如容易出现停滞现象、收敛速度慢等。
- Particles are moved in lanes at different speeds. 粒子在气道中以不同的速度移动着。
- An organism, such as a beetle, that habitually shares the nest of an ant colony. 蚁冢动物习惯居住在蚂蚁巢中的有机体,如甲壳虫
- An optimization algorithm for multiple-choice knapsack problem based on ant colony system is presented. 提出了一种用蚁群系统求解多选择背包问题的优化算法。
- Buffer: Temporary storage used to compensate for the different speed of adjacent. 缓冲区:暂态性存储区域,用于平衡邻接设备不同的速度。
- Ant Colony Optimization algorithm(ACO)has the limitations of poor convergence, and is easy to fall in local optima. 针对蚁群优化算法(Ant Colony Optimization; ACO)收敛速度慢、易陷于局部最优解的缺点;提出了一种基于协同进化思想的蚁群算法;用于求解TSP问题.
- In different speed ascend & descend phase, vibration data are sampled reasonably. 利用多个电涡流振动传感器在旋转机械升速过程的不同转速段合理地采集数据 ,经过 FFT特征抽取后 ,再由 SOM神经网络进行特征压缩编码。
- Evolutionary strategy with searching in variable neighborhood parameter is taken to improve ant colony algorithm (ACA). 摘要蚂蚁算法是解决组合优化问题的一种优秀的算法,但直接用于解决连续优化问题存在很大困难。
- They traverse the same path, but with different speeds. 它们所经的路径相同,但以不同的速率行进。
- By using of searching technic of ant colony algonithm, it can solve this problem very well. 利用蚁群算法的搜索技术,可以很好地解决这一难题。
- However, we noticed that many consumer PCs had internal clocks with a different speed, leading to desynchronization. 但是,我们注意到一些机器的内部时钟速度不一样,这样会导致错误的同步。