1)Simulated annealing genetic algorithm模拟退火遗传算法
1.The diagnosis study of rebound excellence of autocar cover sheet on simulated annealing genetic algorithm;基于模拟退火遗传算法汽车覆盖件弹复量优化诊断研究
2.Clustering Based on Simulated Annealing Genetic Algorithm;基于模拟退火遗传算法的聚类分析
3.Association rule mining based on simulated annealing genetic algorithm;基于模拟退火遗传算法的关联规则挖掘
英文短句/例句
1.A Simulated Annealing Genetic Algorithm in Contours Tiling模拟退火遗传算法的轮廓线拼接研究
2.New fuzzy adaptive simulated annealing genetic algorithm一种新的模糊自适应模拟退火遗传算法
3.A Feature Selection Method Based on Adaptive Simulated Annealing Genetic Algorithm基于自适应模拟退火遗传算法的特征选择方法
4.Research on Vehicle Scheduling Problem Based on Genetic Simulated Annealing Algorithm;基于模拟退火遗传算法的车辆调度问题研究
5.The Solution of TSP Based on the Multiple Population Adaptive Simulated Annealing Genetic Algorithm;多种群自适应模拟退火遗传算法求解TSP问题
6.Study on location based on genetic algorithm combing with simulated annealing and AHP;基于模拟退火遗传算法和AHP的选址研究
7.A Simulated Annealing and Genetics Algorithm to Bias Correction of Medical Images基于模拟退火遗传算法的医学图像偏移场校正
8.Model Research in Stability Analysis of Slope with SAHAGA基于模拟退火遗传算法的边坡稳定分析
9.Application of SAGA in Optimizing Dangerous Freight Loading模拟退火遗传算法在危货优化配装中的应用
10.Study of the Global Optimal Method Self adaptation Simulated Annealing genetic Algorithm全局优化算法自适应模拟退火?遗传算法的研究
11.Performance Analysis on Solving Problem of TSP by Genetic Algorithm and Simulated Annealing遗传算法和模拟退火算法求解TSP的性能分析
12.Application of Hybrid Simulated Annealing Genetic Algorithm to Parameter Estimation of Xin'anjiang Model基于遗传模拟退火算法的新安江模型参数优选
13.DOA Estimation of Multi-Sources Based on Genetic Simulated Annealing Algorithm;基于遗传模拟退火算法多目标方位估计研究
14.Study on Distribution Network Reconfiguration Based on Genetic Simulated Annealing Algorithm;基于遗传模拟退火算法的配电网重构研究
15.Path Planning in a Static Environment Based on Genetic Simulated Annealing Algorithm;基于遗传模拟退火算法的静态路径规划研究
16.Research on Case-Based Reasoning Based on Genetic Algorithm and Simulated Annealing Algorithm;基于遗传模拟退火算法的范例推理的研究
17.Optimal Research on PCB Assembly Planning Based on Genetic Simulated Annealing Algorithm;基于遗传模拟退火算法的PCB贴装工艺优化研究
18.The Research on QoS Multicast Routing Based on Genetic Simulatied Annealing Algorithm;基于遗传模拟退火算法的QoS组播路由研究
相关短句/例句
SAGA[英]['sɑ:ɡ?][美]['sɑg?]模拟退火遗传算法
1.Image Segmentation for Furnace Flame based on SAGA;基于模拟退火遗传算法的炉膛火焰图像分割
2.Taking account of the complexity of optimization of gas bearing detecting roller-ring,the paper puts forward intelligent optimized method-simulated annealing genetic algorithm(SAGA) based on artifical neural network(ANN).针对空气轴承式板形仪检测辊环的结构参数优化问题求解的复杂性,提出了采用基于神经网络的模拟退火遗传算法的智能优化方法。
3.Simulated annealing genetic algorithm(SAGA) is utilized in this model as the main searching method for solving the problem of trapping in local optimum.总结了测试数据自动生成的通用模型,把模拟退火遗传算法(SAGA)引入模型中作为核心搜索方法,避免了单一遗传算法易陷入局部最优的问题。
3)genetic simulated annealing algorithm遗传模拟退火算法
1.Application of genetic simulated annealing algorithm in parameter estimation of Archie equation;遗传模拟退火算法在阿尔奇公式参数估计中的应用
2.Optimization of electromagnetic gear structure parameters by genetic simulated annealing algorithm;基于遗传模拟退火算法的电磁齿轮结构参数优化
3.Research on Heat Exchanger of Refrigeration System Using Genetic Simulated Annealing Algorithm;基于遗传模拟退火算法的制冷系统优化
4)Simulated annealing-genetic algorithm模拟退火-遗传算法
5)improved genetic simulated annealing algorithm改进遗传模拟退火算法
1.A route planning scheme for UAV based on improved genetic simulated annealing algorithm was presented,which looks quite promising for the route planning problem.建立了基于真实地形数据和火力威胁区的航迹规划空间模型,结合具有概率突跳特性的模拟退火和群体并行搜索的遗传算法的特点,提出了一种改进遗传模拟退火算法的飞行器航迹规划方法。
2.It presents that the improved genetic simulated annealing algorithm is used to solve this problem.以分段开关加入后配电系统的可靠性成本和可靠性效益为目标函数,计及分段开关的年投资、年维护费用、系统停电损失等综合费用和相关技术约束,建立了配电网线路分段开关的优化规划模型,提出用改进遗传模拟退火算法来求解的研究思路,把遗传算法全局搜索能力强与模拟退火算法局部搜索能力强的特点结合起来,提高了算法的局部寻优能力,有效地解决了早熟现象,具有很好的全局收敛性。
6)genetic simulated annealing遗传模拟退火算法
1.Consistency modification of judgment matrix based on a genetic simulated annealing algorithm;基于遗传模拟退火算法的判断矩阵一致性修正
2.The problem is approached as an optimization problem, with a fitness function to evaluate the mapping parameter sets and several intelligent optimization methods, including genetic algorithms, simulated annealing, and genetic simulated annealing (GASA), used to automatically solve the problem.从优化问题的角度考察传感器配准问题 ,提出一个适当的适配度函数以评定传感器图像间的映射参数 ,并在此基础上采用遗传算法、模拟退火、遗传模拟退火算法等随机优化方法解决此优化问题 ,从而达到自动配准传感器图像的目的。
3.In order to increase the speed of segmentation,an improved genetic simulated annealing is given.为了提高分割速度,给出了一种改进遗传模拟退火算法。
延伸阅读
模拟退火算法分子式：CAS号：性质： 一种随机优化算法，它以自然界的退火过程作为模拟对象，以求得全局最优。它在寻优过程是以一种概率形式来保留多个最优点，以使得该算法可跳出局部最优点。可以证明，只要计算时间足够长，模拟退火算法总可以找到全局最优解。由于化学化工研究中经常存在着局部最优的问题，故近年来模拟退火算法在化学化工研究中得到了广泛的应用。
