Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

Genetic programming (GP) has achieved great success for learning scheduling heuristics in
dynamic job-shop scheduling (JSS). In theory, generating a large number of offspring for GP …

Scheduling problems constitute an important part in many everyday systems, where a
variety of constraints have to be met to ensure the feasibility of schedules. These problems …

The container relocation problem is a challenging combinatorial optimisation problem
tasked with finding a sequence of container relocations required to retrieve all containers by …

Dynamic scheduling represents an important combinatorial optimisation problem that often
appears in the real world. The difficulty in solving these problems arises from their dynamic …

Dispatching rules are fast and simple procedures for creating schedules for various kinds of
scheduling problems. However, manually designing DRs for all possible scheduling …

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

Smart manufacturing in the “Industry 4.0” strategy promotes the deep integration of
manufacturing and information technologies, which makes the manufacturing system a …

Deadlocks can lead to indefinite delays and total production interruption, resulting in
industrial losses. The control function is responsible for maintaining deadlock-free …

Dynamic scheduling problems are important optimisation problems with many real-world
applications. Since in dynamic scheduling not all information is available at the start, such …