Dynamic flexible job shop scheduling (JSS) is an important combinatorial optimization
problem with complex routing and sequencing decisions under dynamic environments …

Dynamic flexible job-shop scheduling (DFJSS) is a challenging combinational optimization
problem that takes the dynamic environment into account. Genetic programming …

Against the background of smart manufacturing and Industry 4.0, how to achieve real-time
scheduling has become a problem to be solved. In this regard, automatic design for shop …

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 …

Evolutionary multitask learning has achieved great success due to its ability to handle
multiple tasks simultaneously. However, it is rarely used in the hyperheuristic domain, which …

Dynamic flexible job shop scheduling (JSS) has received widespread attention from
academia and industry due to its practical application value. It requires complex routing and …

In the real world, scheduling is usually performed under dynamic conditions, which means
that it is not known when new jobs will be released into the system. Therefore, the procedure …

Dynamic flexible job shop scheduling (JSS) is a challenging combinatorial optimization
problem due to its complex environment. In this problem, machine assignment and …

At present, a lot of references use discrete event simulation to evaluate the fitness of evolved
rules, but which simulation configuration can achieve better evolutionary rules in a limited …

Scheduling is an important process that is present in many real world scenarios where it is
essential to obtain the best possible results. The performance and execution time of …