8 天前 - … the Twin Delayed Deep Deterministic (TD3) algorithm for … of TD3 is compared
against Simulated Annealing (SA), a … faster than SA while retaining decision quality within a 10…

49 天前 - … deterministic … , simulated annealing (SA), to the proposed TD3-based offloading
optimization to answer key questions concerning decision time, convergence time, decision qual…

128 天前 - … In this paper, we propose a deterministic optimization … 4c compares the running
time required for decision-making … , the robust and deterministic optimization models take …

183 天前 - … problem and the non-deterministic polynomial hard (NP-hard), a tailored selective
simulated annealing algorithm is proposed to optimally make decisions for the arrival traffic …

198 天前 - … algorithm with a simulated annealing strategy and a deep deterministic policy
gradient … nodes, and transforms the model into Markov decision process for training. Finally, an …

200 天前 - … However, finding the best allocation strategy for IoT applications with more than
one QoS parameter is a challenge, and it has been proved as a non-deterministic polynomial …

233 天前 - … uses a combination of simulated annealing algorithm and deep … algorithm and
double-delay deterministic strategy … Therefore, Markov decision process can be used to model. …

256 天前 - … optimizing key decisions associated with … deterministic and stochastic local search
algorithms, namely variable neighborhood descent and a new variant of simulated annealing…

257 天前 - … decision-making models that facilitate the coordination of production, inventory,
and distribution activities, in both deterministic and … Additionally, a simulated annealing-based …

313 天前 - … simulated annealing as physics/chemistry-based and election algorithm as socio-inspired
algorithm. Machine learning is a data analytics technique to use for computational …