With the advent of the Internet of Things, especially the Internet of Vehicles, abundant
environmental and mobile data can be generated continuously. A personalized …

As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

The rapid development of the large language model (LLM) presents huge opportunities for
6G communications--for example, network optimization and management--by allowing users …

AdaBoost is a boosting-based machine learning method under the assumption that the data
in training and testing sets have the same distribution and input feature space. It increases …

The developments of electric vehicle (EV) technology and mobile internet technology have
made the EV-oriented ride-hailing service a trend in smart cities. In the service scenario, a …

Electric vehicles (EVs) have been widely used in urban cold chain logistic distribution and
transportation of fresh products. In this paper, an electric vehicle routing problem (EVRP) …

As an important part of product design and manufacturing, assembly sequence planning
(ASP) has a considerable impact on product quality and manufacturing costs. ASP is a …

Service composition is a technology capable of combing a collection of existing services
where many smaller services are coordinated together to form a larger one. Functionally …

Tourism route planning is widely applied in the smart tourism field. The Pareto-optimal front
obtained by the traditional multi-objective evolutionary algorithm exhibits long tails, sharp …

Heterogeneous information network (HIN) has been applied in a wide variety of graph
analysis tasks. At present, it is a trend of heterogeneous graph neural networks (HGNNs) to …