IEEE

A Hybrid Optimization Framework for Dynamic Multi-Objective Problems Using NSGA-II and Deep Reinforcement Learning

Abstract: Dynamic multi-objective optimization problems (DMOPPs) are prevalent in complex engineering and management systems, where decision-makers must balance conflicting objectives under ...
IEEE

Dynamic Task Offloading and Resource Allocation for Vehicular Edge Computing Networks Based on Deep Reinforcement Learning

Abstract: Vehicular edge computing (VEC) server allocates computing resource blocks (CRBs) with different CPU frequencies to process tasks with different low latency requirements. During task ...