A Novel Genetic Algorithm for Static Virtual Topology Reconfiguration in IP/WDM Optical Networks

Zhanqi Xu, Xing Jin, Zhemin Ding
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Abstract

The transport traffic in WDM optical networks are provided to the networks customers in the form of lightpath via virtual topology reconfiguration(VTR), thus the algorithm to perform such an VTR has crucial impact on the resource usage efficiency. This paper proposes the routing algorithm of the Virtual Topology Reconfiguration based on the Genetic Algorithm (VTR-GA) for static traffic in the IP/WDM optical networks and develops an integer linear programming (ILP) model to solve the VTR problem. The proposed algorithm procedure and key issues, including the coding, initial population, fitness, crossover and variation within such an algorithm, are addressed. Its effectiveness in the resource utility has been verified by comparing the results from the proposed algorithm with those of both running CPLEX under the small-size network and the heuristic algorithms used formerly on the NSFnet.
一种新的IP/WDM光网络静态虚拟拓扑重构遗传算法
WDM光网络中的传输流量是通过虚拟拓扑重构(VTR)以光路的形式提供给网络用户的,实现虚拟拓扑重构的算法对网络资源的利用效率有着至关重要的影响。提出了基于遗传算法的IP/WDM光网络静态流量虚拟拓扑重构路由算法,并建立了整数线性规划(ILP)模型来解决虚拟拓扑重构问题。讨论了算法过程和算法中的关键问题,包括编码、初始种群、适应度、交叉和变异。通过将该算法与小型网络下运行CPLEX的结果和NSFnet上使用的启发式算法的结果进行比较,验证了该算法在资源利用方面的有效性。
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