Intelligent scheduling covers various tools and techniques for successfully and efficiently
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …

This paper provides a systematic review of the Genetic Algorithm (GA) s proposed to solve
planning and scheduling problems in Engineer-To-Order (ETO) contexts. Our review …

Traditional approaches for job shop scheduling problems are ill-suited to deal with complex
and changeable production environments due to their limited real-time responsiveness …

In recent years, the interaction between evolution and learning has received much attention
from the research community. Some recent studies on machine learning have shown that it …

This paper investigates integrated flexible job shop problem (FJSP) with preventive
maintenance (PM) activities under the multi-objective optimization approaches. Finding …

This work presents an efficient methodology called GENACE for solving the flexible job-shop
scheduling problem (or FJSP) with recirculation. We show how CDRs are used to solve the …

This paper tackles the flexible job-shop scheduling problem with uncertain processing times.
The uncertainty in processing times is represented by means of fuzzy numbers, hence the …

Flexible job-shop scheduling problem (FJSP) is extension of job-shop scheduling problem
which allows an operation to be performed by any machine among a set of available …

A hybrid simulated annealing algorithm based on a novel immune mechanism is proposed
for the job shop scheduling problem with the objective of minimizing total weighted …

Abstract The Quantum Circuit Compilation Problem (QCCP) is challenging to the Artificial
Intelligence community. It was already tackled with temporal planning, constraint …