Integrating Genetic Algorithm with a Tabu Search (GTA) for Network Traffic Scheduling
نویسندگان
چکیده
Routing in networks is the major issue, because the packets may be sent through different topologies. This issue is addressed with the help of the metaheuristic algorithm. In the proposed work the Genetic Algorithm (GA) is integrated with Tabu Search to schedule the packets effectively in computer networks. The initial path is generated by Genetic Algorithm and then it is optimized by Tabu Search (TS) Algorithm. The importance of integration is that, to reduce the size of routing table.
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