Artificial intelligence (AI) has the potential to change the future of human resource
management (HRM). Scholars from different disciplines have contributed to the field of AI in …

We provide a comprehensive overview of the typical decisions to be made in resource
capacity planning and control in health care, and a structured review of relevant articles from …

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily
basis all over the world. The need for quality software solutions is acute for a number of …

Optimisation problems in Healthcare have received considerable attention for more than
three decades. More recently, however, with decreasing birth rates in nearly all of the …

Hyper-heuristics is a fairly recent technique that aims at effectively solving various real-world
optimization problems. This is the first book on hyper-heuristics, and aims to bring together …

Hospitals need to repeatedly produce duty rosters for its nursing staff. The good scheduling
of nurses has impact on the quality of health care, the recruitment of nurses, the …

Computational methods for rostering and personnel scheduling has been a subject of
continued research and commercial interest since the 1950s. This annotated bibliography …

The health care system in Sweden and many other countries is facing increasing costs. The
major reason is the changing age distribution of the population with more elderly people in …

The interest about hybrid optimization methods has grown for the last few years. Indeed,
more and more papers about cooperation between heuristics and exact techniques are …

The purpose of this paper is to present a new methodology for scheduling nurses in which
several conflicting factors guide the decision process. Unlike manufacturing facilities where …