Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...

Abstract: The net present value (NPV)-based resource constrained project scheduling problem (RCPSP) is a well-known scheduling problem in many industries, such as construction, software development, ...

A new AI-driven system designed to optimize energy use and resource allocation in smart agriculture has demonstrated superior performance over conventional machine learning models, according to a 2025 ...

In the table, the row index represents the sequence number of the operation, the column index represents the sequence number of the machine, and the numerical value represents the corresponding ...

Rapid urbanisation and increased fossil-fuel consumption causing excessive greenhouse gas (GHG) emissions and climate change globally pose significant threats to the cities. Smart cities strive for ...

A major barrier to the wider use of supervised learning in emerging applications, such as genomic selection, is the lack of sufficient and representative labeled data to train prediction models. The ...

Each presentation is presented by a speaker and supervised by three supervisors. There are k supervisors available. There are two types of constraints: hard constraints and soft constraints. Hard ...