This work presents a multi-objective discrete firefly algorithm (MO-DFFA) for solving the
flexible job-shop scheduling problem (FJSP) in a make-to-order production. Three different …

Recent improvements in deep reinforcement learning have allowed to solve problems in
many 2D domains such as Atari games. However, in complex 3D environments, numerous …

Traditional planning and scheduling techniques still hold important roles in modern smart
scheduling systems. Realistic features present in modern manufacturing systems need to be …

Image segmentation is a critical and challenging endeavor in the field of medicine. A
magnetic resonance imaging (MRI) scan is a helpful method for locating any abnormal brain …

Job Shop Scheduling (JSS) is one of the problems in the production process. The sequence
of operation and processing time are often different because some jobs consist of multiple …

The growth in data traffic is raising serious challenges for OTN in terms of improving their
capacity efficiency in order to meet the new traffic requirements. Under these circumstances …

Manufacturing scheduling strategies have historically ignored the availability of the
machines. The more realistic the schedule, more accurate the calculations and predictions …

The network design is a well-known combinatorial optimization problem that is classified as
NP-Hard. The main purpose of design is often the same, to allocate and size available …

Deep drawing is a manufacturing process in which sheet metal is progressively formed into
a three-dimensional shape through the mechanical action of a punch forming the metal …

The mechatronic vehicle developed within the Shift2Rail projects Run2Rail, Pivot,
NEXTGEAR, and Pivot2 is evaluated with respect to wheel wear. The KTH wear model is …