… from CWnd or rate controls. As we cannot find the source code of the current queue length
adaptive loss recovery implementation, we develop a Queue length Adaptive Rate Reduction …

… We used an adaptive rate control mechanism to enhance the performance of the video
encoding… RAT network using the Red Deer Algorithm, one of the significant heuristic algorithms. It …

… In [Citation18], an adaptive power control technique through game theory also known as …
to bit rate with full compensation and convex pricing schemes by fixing β values heuristically. An …

… Q-network (DQN) to learn effective sleeping policies from high-dimensional raw observations
and considers action experience replay and adaptive … In contrast to heuristics, DRL can get …

… than being based on an arbitrary or heuristic option, as is the case … the interplay between
power and rate control, and we … the optimization problem of determining which compensation …

… user association in HetNets and cell outage compensation management. [20] suggests that
… Cui, ‘‘An inertia-adaptive particle swarm system with particle mobility factor for improved …

… of the network is to incorporate intelligence and self-adaptation into a selforganizing network
(… In contrast to heuristics, DRL can get the global optimal solution and avoid falling into a …

… “A Content-based Adaptive and Dynamic Scheduling (CADS) using two ways communication
model in WSNs”. CADS dynamically changes a node states during data aggregation and …

… compensation method based on the immune algorithm. Immune algorithms and particle
swarm algorithms are both heuristic … Therefore, this paper proposes to use adaptive weights …

… using the meta-heuristic approach are rarer than those incorporating the other two methods.
As mentioned earlier, we use a meta-heuristic … video encoding adaptation strategies. In …