Abstract: A novel multi-objective antenna optimization method based on the surrogate model-assisted deep reinforcement learning (SADRL) is proposed. The method is divided into three stages: coarse ...

Abstract: This study proposes a multi-objective scheduling optimization algorithm based on reinforcement learning. This method constructs a deep reinforcement learning framework with Actor-Critic as ...

This repository contains the code for the design and optimization of trajectories specifically for Mars Ascent Vehicles (MAVs), using a Multi-Objective Trajectory Optimization (MOTO) framework, with ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...