Description: 用模拟退火优化遗传算法，使遗传算法具有反向搜索能力，通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value. Platform: |
Size: 12288 |
Author:史峰 |
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Description: 本文介绍了模拟退火算法的原理和求解方法,并将其用于指数曲线的拟合,在Matlab语言环境下实现了该算法,并且与文献中的遗传算法、线性回归相比较。数值模拟结果表明,该算法能更好地实现最优拟合。-This article describes the principle of simulated annealing algorithm and solution methods, and used an exponential curve fitting, the language environment in Matlab implementation of the algorithm and the genetic algorithm with the literature, linear regression comparison. Numerical simulation results show that the algorithm can better achieve the optimal fit. Platform: |
Size: 17408 |
Author:yaoqiuxiang |
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Description: 针对通信网络中多重QoS约束条件下的多播路由计算，提出了一个基于模拟退火技术的改进遗传算法HGA-QoSR。该算法把模拟退火技术的局部寻优能力与遗传算法的全局寻优能力有机结合，并利用隔离小生境机制控制种群的独立进化，使演化过程中的种群保持生态多样性，以提高算法运行效率和解的质量。理论分析和仿真实验表明，与传统遗传算法相比较，该算法性能有显著改进。 -Communication networks for multi-QoS Constrained multicast routing calculation, proposed a simulated annealing technique based on improved genetic algorithm HGA-QoSR. The algorithm to simulated annealing and local optimization ability of genetic algorithms global optimization ability of organic combination and isolation niche mechanism to control the use of independent evolution of populations, the evolution of the species to maintain ecological diversity, to improve the algorithm efficiency settlement quality. Theoretical analysis and simulation results show that compared with traditional genetic algorithm, the algorithm performance significantly improved. Platform: |
Size: 27648 |
Author:S514506227 |
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Description: Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value. Platform: |
Size: 13312 |
Author:eaclicker |
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Description: 上篇介绍数学建模中常规方法的matlab实现，包括matlab交互、数据建模、程序绘图、灰色预测、规划模型等方法；还介绍了各种高级方法的matlab实现，包括遗传算法、粒子群算法、模拟退火算法、人工神经网络、小波分析、动态仿真、数值模拟等。下篇以真实的数学建模赛题为案例，介绍了如何用matlab求解实际的数学建模问题，给出了详细的建模过程和程序(The introduction of conventional methods of mathematical modeling in matlab implementation, including Matlab interface, data modeling, process drawing, grey forecasting, planning model and other methods; also introduces various advanced methods to achieve the MATLAB, including genetic algorithm, particle swarm algorithm, simulated annealing algorithm, artificial neural network, wavelet analysis, dynamic simulation and numerical simulation etc.. In the case of a real mathematical modeling contest, the next chapter introduces how to solve the actual mathematical modeling problem with MATLAB, and gives a detailed modeling process and program.) Platform: |
Size: 804864 |
Author:刁民想害朕 |
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Search - Genetic simulation annealing