This paper offers a summary of the latest studies on healthcare scheduling problems
including patients' admission scheduling problem, nurse scheduling problem, operation …

This paper presents an overview of recent advances for the Nurse Rostering Problem (NRP)
based on methodological papers published between 2012 to 2021. It provides a …

Organizations need to focus on many parameters to reach their goals such as personnel
satisfaction at the top level, profit maximization, increasing system efficiency and minimizing …

Abstract The Nurse Rostering Problem (NRP) is a complex scheduling problem in which
nurses must be assigned to shifts according to a set of constraints. The NRP is difficult to …

As a relatively recent invented swarm intelligence algorithm, artificial bee colony (ABC)
becomes popular and is powerful for solving the tough continuous optimization problems …

Assigning nurses to appropriate departments and work shifts based on human factors can
strengthen teamwork and boost the efficiency of healthcare systems. The human factors …

This study presents a robust optimization algorithm based on hybridization of krill herd (KH)
and artificial bee colony (ABC) methods and the information exchange concept. The global …

Artificial bee colony (ABC) algorithm is a well-established swarm optimization technique that
has been successfully applied for solving different kinds of optimization problems. In spite of …

Nowadays and due to the pandemic of COVID‐19, nurses are working under the highest
pressure benevolently all over the world. This urgent situation can cause more fatigue for …

Artificial neural networks (ANNs), one of the most important artificial intelligence techniques,
are used extensively in modeling many types of problems. A successful training process is …