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遗传模拟退火 Genetic Simulated Annealing英语短句 例句大全

时间:2021-04-11 17:25:24

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遗传模拟退火 Genetic Simulated Annealing英语短句 例句大全

遗传模拟退火,Genetic Simulated Annealing

1)Genetic Simulated Annealing遗传模拟退火

1.The application of aGenetic Simulated Annealing(GSA)algorithm as an optimization method for finding a suitable combination.提出了微观仿真模型参数校正流程,然后以合肥市大东门区域VISSIM仿真系统模型为实例,建立了仿真模型参数校正的遗传模拟退火启发式算法,实现了对VISSIM的仿真参数的自动化校正,根据实测结果和仿真实验比较分析,验证了算法的有效性。

2.Firstly,the quasi-maximum likelihood estimation,combining genetic simulated annealing (GSA) and maximum likelihood estimation (MLE),is developed for the parameter estimation of the model.因此首先利用遗传模拟退火算法估计门限参数和同积向量,然后用极大似然估计计算其余的参数,仿真结果表明,拟极大似然估计不受模型维数限制具有有效性和可行性,此外,数值计算结果的比较分析表明遗传模拟退火优于传统的遗传算法、模拟退火和随机搜索等优化算法。

英文短句/例句

1.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

2.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

3.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

4.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

5.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

6.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

7.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

8.An Optimization of Heat Pump and Refrigeration System by the Method of Genetic Simulated Annealing Algorithm;基于遗传模拟退火算法的热泵和制冷系统优化

9.Application of Genetic Simulated Annealing Algorithm in Nonlinear Least Square;遗传模拟退火算法在非线性最小二乘中的应用

10.Application of Genetic Simulated Annealing Algorithm in Location of Distribution Centre;遗传模拟退火算法在配送中心选址中的应用

11.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

12.Path Planning of Mobile Robot Based on Genetically Simulated Annealing Algorithm基于遗传模拟退火算法的移动机器人路径规划

13.Genetic simulated annealing algorithm for resource-constrained project scheduling problem应用遗传模拟退火算法实现资源受限项目调度

14.Estimation of genome reversal distance with genetic simulated annealing algorithm无向反转排序问题的遗传模拟退火求解

15.A Simulated Annealing Genetic Algorithm in Contours Tiling模拟退火遗传算法的轮廓线拼接研究

16.New fuzzy adaptive simulated annealing genetic algorithm一种新的模糊自适应模拟退火遗传算法

17.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

18.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

相关短句/例句

genetic-simulated annealing遗传-模拟退火

3)genetic simulated annealing algorithm遗传模拟退火法

1.Based on the bistable saturation in quantum cellular automata and the concepts of memory constructed by traditional CMOS technology, a ROM of 4×5 bit is constructed which composed of quantum cellular automata, and thegenetic simulated annealing algorithm of quantum cellular automata is employed to simulate the circuit.结合量子细胞自动机的双稳态特性和传统的CMOS工艺设计存储器的思想,设计了4×5bit的只读存储器,并利用基于量子细胞自动机的遗传模拟退火法进行了仿真验证,结果显示该电路的正确性。

4)genetic simulated annealing algorithm遗传模拟退火算法

1.Application ofgenetic 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 bygenetic 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

5)Simulated annealing-genetic algorithm模拟退火-遗传算法

6)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

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。

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