[HTML][HTML] Recent advances in selection hyper-heuristics

JH Drake, A Kheiri, E Özcan, EK Burke - European Journal of Operational …, 2020 - Elsevier
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques
for computational search problems. This is in contrast to many approaches, which represent …

A survey of the nurse rostering solution methodologies: The state-of-the-art and emerging trends

CM Ngoo, SL Goh, NR Sabar, S Abdullah… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Multi-period portfolio optimization using a deep reinforcement learning hyper-heuristic approach

T Cui, N Du, X Yang, S Ding - Technological Forecasting and Social …, 2024 - Elsevier
Portfolio optimization concerns with periodically allocating the limited funds to invest in a
variety of potential assets in order to satisfy investors' appetites for risk and return goals …

A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties

Y Zhang, R Bai, R Qu, C Tu, J ** - European Journal of Operational …, 2022 - Elsevier
In the past decade, considerable advances have been made in the field of computational
intelligence and operations research. However, the majority of these optimisation …

[HTML][HTML] E-platooning: Optimizing platoon formation for long-haul transportation with electric commercial vehicles

J Scholl, N Boysen, A Scholl - European Journal of Operational Research, 2023 - Elsevier
Recent technological developments allow to connect vehicles via digital data transmission,
so that a queue of trucks can safely be driven in close proximity. The lower air resistance of …

Knowledge-assisted adaptive large neighbourhood search algorithm for the satellite–ground link scheduling problem

Z Liu, J Liu, X Liu, W Yang, J Wu, Y Chen - Computers & Industrial …, 2024 - Elsevier
Communications between satellites and the ground supported by satellite–ground links
(SGLs) are indispensable to the daily management of large-scale low-orbit communication …

A hybrid fix-and-optimize and simulated annealing approaches for nurse rostering problem

AM Turhan, B Bilgen - Computers & Industrial Engineering, 2020 - Elsevier
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 …

[HTML][HTML] A new formulation and solution for the nurse scheduling problem: A case study in Egypt

AA El Adoly, M Gheith, MN Fors - Alexandria engineering journal, 2018 - Elsevier
Abstract Nurse Scheduling Problem (NSP) is the assignment of a number of nurses to a
number of shifts in order to satisfy hospital's demand. The objectives of NSP are the …

A hybrid genetic algorithm for nurse scheduling problem considering the fatigue factor

A Amindoust, M Asadpour… - Journal of Healthcare …, 2021 - Wiley Online Library
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 …

Home health care routing and scheduling problems: a literature review

J Euchi, M Masmoudi, P Siarry - 4OR, 2022 - Springer
Home health services arise from the need for hospitals to care for patients and/or dependent
persons who, due to special conditions, require hospitalisation and/or care at home. The …