Abstract: This paper addresses a class of optimization problems with time-varying cost functions by proposing a fully distributed prescribed-time algorithm. The algorithm decomposes the overall ...
Abstract: This paper proposes an effective and novel multi-agent deep reinforcement learning (MADRL)-based method for solving the joint virtual network function (VNF) placement and routing (P&R), ...
The Cost of Quality (COQ) is widely recognized in manufacturing as a critical performance metric, yet its application in the construction industry remains less established due to fundamental ...