Description: WDM光网络中路由过程可视化本文主要针对WDM光网络中路由过程可视化问题，将光网络路由过程分为路由过程和波长分配过程。-WDM network routing process visualization This paper mainly deals with WDM network routing process visualization, optical network routing process is divided into the process of routing and wavelength distribution process. Platform: |
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Author:孔的 |
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Description: 带有QoS约束的组播路由问题是一个NP完全问题，遗传模拟退火算法是遗传算法和模拟退火算法的一种融合，可以为这类问题提供一个解决方案-With QoS constraint multicast routing problem is an NP-complete problem, genetic simulated annealing algorithm is a genetic algorithm and simulated annealing algorithm as a fusion, you can provide for such a solution Platform: |
Size: 2048 |
Author:zhao xian sheng |
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Description: QoS选播路由的粒子群算法仿真主函数
来自（http://blog.sina.com.cn/greensim）-QoS Anycast Routing Simulation of the particle swarm algorithm main function from (http://blog.sina.com.cn/greensim) Platform: |
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Author:zhao xian sheng |
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Description: 在状态转移规则的基础上，局部更新规则和全局更新的蚁群算法的规则，我们提出一个IM证明蚂蚁的最低成本的服务质量蚁群算法（QoS）的路径用于解决网络路由问题与延迟以及背包约束中进行模拟。约52.33％蚂蚁找到成功的QoS路由。并收敛到最佳。-based on the state transition rule，the local updating rule and the global updating rule of ant colony algorithm ，we propose an im proved ant colony algorithm of the least cost quality of service(QoS)unicast routing．The algorithm is used for solving the routing problem with delay．delay jitter．bandwidth，and packet lOSS constrained． In the simulation，about 52．33 ants find the Successful QoS routing ．and converge to the best． It is proved that the algorithm is efficient and effective． Platform: |
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Author:lifei |
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Description: ACO求解QOS路由问题。该文件完全实现了蚁群算法求解QOS路由问题，取得了不错的效果。用matlab打开该文件，将文件中的输入参数列表复制到运行窗口中，然后运行该文件即可。-ACO routing problem solving QOS. This document is the ant colony algorithm to achieve QOS routing problem, and achieved good results. Using matlab to open the file, the file copied to the run input parameters list window, then run the file. Platform: |
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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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