using new approaches to optimize the process of power transmission line routing can solve many complex problems which power transmission line routing decision-makers are faced. due to the expansion of involved parameters we can consider multi-objective evolutionary algorithms as appropriate method in this area. in this thesis with using multi-objective evolutionary algorithms nsga-ii and offere...

Acyclic overlays used for broker–based publish/subscribe systems provide unique paths for content–based routing from a publisher to interested subscribers. Cyclic overlays may provide multiple paths, however, the subscription broadcast process generates one contentbased routing path per subscription. This poses serious challenges in offering dynamic routing of notifications when congestion is d...

Problem statement: Ad hoc Networks are wireless networks without any fixed infrastructure. The network topology changes frequently and unpredictably due to the random movement of the nodes. The Ad Hoc on Demand Distant Vector Routing (AODV) protocol works in a dynamic fashion, by establishing a route on demand and continues that route until it breaks. Due to the changing network topology of ad ...

in this paper, for the first time, blood inventory-routing problem (irp) is defined and a mixed integer linear programming formulation is presented. to do so, the concepts of assigned inventory, transfusion to crossmatch ratio, crossmatch release period, older-first policy and order-up-to level inventory policy along with perishability considerations are incorporated into the latest inventory-r...

In this paper, we solve the call admission control and routing problem in multimedia networks via reinforcement learning (RL). The problem requires that network revenue be maximized while simultaneously meeting quality of service constraints that forbid entry into certain states and use of certain actions. The problem can be formulated as a constrained semi-Markov decision process. We show that...