Convolutional neural networks' performance is significantly affected by their architecture.
Different algorithms have been developed to aid in automating the network structure …

Cloud Computing is one of the emerging fields in the modern-day world. Due to the
increased volume of job requests, job schedulers have received updates one at a time. The …

Traditional manufacturing enterprises cannot adjust their production line structure in the
short term. They face significant challenges in adapting to the rapidly changing market …

With increasingly stringent carbon policies, the development of traditional heavy industries
with high carbon emissions has been greatly restricted. Manufacturing companies surveyed …

In recent years, Kubernetes (K8s) has become a dominant resource management and
scheduling system in the cloud. In practical scenarios, short-running cloud workloads are …

This paper investigates a distributed assembly permutation flow-shop scheduling problem
with transportation and sequence-dependent set-up times (DAPFSP-TSDST). A hybrid …

The time-dependent green vehicle routing problem with time windows is a further deepening
of the research on vehicle routing problems with time windows. Its simultaneous …

To solve the distributed hybrid flow shop scheduling problem (DHFS) in raw glass
manufacturing systems, we investigated an improved hyperplane assisted evolutionary …

One of the major impacts of climate change is the scarcity of water resources. Various
techniques have been employed across different sectors to conserve water. Process …

Abstract The Flexible Job-Shop Scheduling Problem (FJSP) has been extensively studied
due to its importance in manufacturing. However, as a consequence of the increasing …