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- ants optimizing algorithm 蚂蚁寻优算法
- Solving the Maximization Problem of the Continuous Functions Based on Ant Optimization Algorithm 求解连续函数最大值的蚂蚁优化算法
- Keywords mobile Ad Hoc Network;multipath routing;clustering;QoS routing;cross-layer design;reliable transmission;FEC;ant optimization algorithm with reusing abilities; 移动自主网络;多路径路由;分簇;服务质量;跨层设计;可靠传输;前向纠错;重用蚂蚁寻优;
- 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。
- Study of Optimization Algorithm Bas. 基于动态神经网络优化算法研究;
- This is a optimized algorithm about circle. 关于圆的一个优化算法
- This is a optimized algorithm about ellipse. 关于椭圆的一个优化算法
- This is an optimized algorithm about straight line. 关于直线的一个优化算法
- 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.
- A new ACO（Ant Colony Optimization） algorithm based on pheromone increment and diffusion models is presented. 文章提出一种新的基于信息素增量和扩散模型的蚁群算法。
- In the design of neural network, optimizing algorithm of DFP is used and reference value for real time application in aerial combat is provided. 在神经网络设计中,采用了变尺度优化算法,提高了算法的速度和精度,对空战的实时应用提供了重要的参数价值。
- By adding gradient information to influence the update of the local search of the ants, a kind of ant colony optimization algorithm with gradient information is proposed. 针对第三章提出的ACOAL算法由于随机性搜索过强导致收敛时间过长的缺点;提出了带有梯度加速的蚁群混合算法(GACO).
- This paper used neural network as the predictive model, and genetic algorithm as optimizing algorithm, to simulate the unmanned vehicle"s ascending process. 本文利用神经网络作为预测模型，以遗传算法作为在线优化算法，对无人机的高度爬升进行了仿真研究。
- Using the genetic algorithm as the online optimizing algorithm, it escape the problem of account the derivative repeatedly at gradient algorithm, and it predigest the problem. 采用遗传算法作为预测控制的滚动优化策略，避免了梯度算法中的多次求导运算的问题，从而使得求解过程简化。
- Based on the analysis about VRP，a mathematical model is built and a combinated optimization algorithm of ant colony and genetic suitable for solving it is designed. 摘要 在对车辆路径问题（VRP）分析的基础上，为之建立了数学模型，提出了一种适合求解该问题的蚁群遗传融合优化算法。
- Genetic Algorithm (GA) is a king of random and global searching optimizing algorithm , which based on Dawin's natural evolution theory and Mendel's genetics and mutation theory. 遗传算法是一种以达尔文的自然进化论和孟德尔的遗传变异理论为基础的全局随机搜索优化算法。
- Aiming at the total weighted tardiness scheduling problem of unrelated parallel machine,a kind of hybrid ant colony optimization algorithm was proposed. 针对一类变速机总加权拖期调度问题,提出一种混合蚁群优化算法。
- Inspired by the collective behavior of real ants, Dorigo, Maniezzo et al first advanced an ant colony system and the ant colony optimization algorithm(ACO) to solve several discrete optimization problems. Dorigo等人受到自然界中真实蚁群集体行为的启发而首先提出来的。 大量实验结果表明,它在解决许多组合优化问题时都能表现出较好的求解能力,经过了许多国内外学者不断地对其进行扩展和改进,蚁群算法正经历着一个不断发展和完善的过程。
- There is a clear division of labor in ants. 蚂蚁间有明确的分工。
- A route optimization algorithm for CMs and its evaluation model are proposed. 提出了一种巡航导弹航迹优化算法和一个航迹规划代价评判模型。
