With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …

The flow shop scheduling problem is one of the most important types of scheduling with a
large number of real-world applications. In this paper, we propose a new algorithm that …

Fog computing (FC) as an extension of cloud computing provides a lot of smart devices at
the network edge, which can store and process data near end users. Because FC reduces …

Flow shop scheduling is a type of scheduling where sequence follows for each job on a set
of machines for processing. In practice, jobs in flow shops can arrive at irregular times, and …

This paper proposes a memetic algorithm (MA) with novel semi-constructive crossover and
mutation operators (MASC) to minimize makespan in permutation flowshop scheduling …

Flow shop scheduling problems have a wide range of real-world applications in intelligent
manufacturing. Since they are known to be NP-hard for more than two machines, we …

In this research, a new approach for tackling the permutation flow shop scheduling problem
(PFSSP) is proposed. This algorithm is based on the steps of the elitism continuous genetic …

Scheduling plays a significant role in production planning. This paper introduces a new
extension of a weighted distance-based approximation (WBDA) methodology to determine …

This paper studies learning effect as a resource utilization technique that can model
improvement in worker's ability as a result of repeating similar tasks. By considering learning …

Though many techniques were proposed for the optimization of Permutation Flow-Shop
Scheduling Problem (PFSSP), current techniques only provide a single optimal schedule …