Dynamic Flexible Job Shop Scheduling (DFJSS) is a critical combinatorial optimisation
problem known for its dynamic nature and flexibility of machines. Traditional scheduling …

Dynamic workflow scheduling (DWS) is a challenging and important optimization problem in
cloud computing, aiming to execute multiple heterogeneous workflows on dynamically …

The control of traffic signals is crucial for improving transportation efficiency. Recently,
learning-based methods, especially Deep Reinforcement Learning (DRL), garnered …

Safe and efficient sortie scheduling on the confined flight deck is crucial for maintaining high
combat effectiveness of the aircraft carrier. The primary difficulty exactly lies in the …

Energy resource management (ERM) is important to an energy system. Effective
management is hard to achieve because of the ubiquitous uncertainty of distributed energy …

In recent years, the growing interest in environmental sustainability has led to Electric
Vehicle Routing Problems (EVRPs) attracting more and more attention. EVRPs involve the …

The job shop scheduling problem is an important combinatorial optimisation problem in the
real world. Genetic programming hyper-heuristic has been successfully applied to …

Automated design of heuristics with genetic programming (GP) has, in recent years, become
an intensively researched research area. One of the most recent applications of this …

abstract Safe and efficient sortie scheduling on the confined flight deck is crucial for
maintaining high combat effectiveness of the aircraft carrier. The primary difficulty exactly lies …