Deterministic processing time are no longer applicable under realistic circumstances because of the uncertainties involved in manufacturing and production processes. The present study aims to address ...

In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the flexible job ...

This research formulates the medical staff's scheduling and vacation control problems as constrained mixed integer quadratic programming problems. Computational results indicate that the proposed ...

Learning how to implement GA and NSGA-II for job shop scheduling problem in python - wurmen/Genetic-Algorithm-for-Job-Shop-Scheduling-and-NSGA-II ...

This article comprehensively reviews the latest application progress of machine learning in multi-objective evolutionary algorithms for scheduling problems. We review various machine learning ...

Why high-salary jobs with long, inflexible hours exacerbate the gender pay gap — and what to do about it. by Gretchen Gavett Long, inflexible work hours are often the norm in high-pressure, high ...