Neural network-based control using actor-critic reinforcement learning and grey wolf optimizer with experimental servo system validation
This paper introduces a novel reference tracking control approach implemented using a
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
Research trends in the optimization of the master surgery scheduling problem
The Master Surgery Scheduling Problem (MSSP) allocates operating theatre time to surgery
groups such as medical specialities or surgeons, which is essential for daily operational …
groups such as medical specialities or surgeons, which is essential for daily operational …
Surgical cases assignment problem using a multi-objective squirrel search algorithm
Surgical cases assignment problem (SCAP) is among the most investigated interests in
operating room planning. The studies related to the SCAP are mainly focused on the single …
operating room planning. The studies related to the SCAP are mainly focused on the single …
Scheduling Multiobjective Dynamic Surgery Problems via -Learning-Based Meta-Heuristics
This work addresses multiobjective dynamic surgery scheduling problems with considering
uncertain setup time and processing time. When dealing with them, researchers have to …
uncertain setup time and processing time. When dealing with them, researchers have to …
[HTML][HTML] Locker box location planning under uncertainty in demand and capacity availability
In this paper, we address the location of locker boxes in the last-mile delivery context under
uncertainty in demand and capacity. The problem is modeled as an extension of the …
uncertainty in demand and capacity. The problem is modeled as an extension of the …
Integrated surgery scheduling by constraint programming and meta-heuristics
Complexity of surgery scheduling reduces surgical staff efficiency and patient satisfaction.
Nurses and surgeons face extreme workload every day, whose schedules can be improved …
Nurses and surgeons face extreme workload every day, whose schedules can be improved …
The efficacy of utility functions for multicriteria hospital case‐mix planning
A new approach to perform hospital case‐mix planning (CMP) is introduced in this article.
Our multicriteria approach utilizes utility functions (UF) to articulate the preferences and …
Our multicriteria approach utilizes utility functions (UF) to articulate the preferences and …
A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks
K Kianfar, A Atighehchian - Annals of Operations Research, 2023 - Springer
This study considers a combination of strategic and tactical levels of operating room
planning where two types of full-day and half-day blocks are considered. Constraints on …
planning where two types of full-day and half-day blocks are considered. Constraints on …
A multi-objective scheduling model in medical tourism centers considering multi-task staff training
A Bakhshandeh, SMJM Al-e - Engineering Applications of Artificial …, 2024 - Elsevier
In the present era, hospitals are actively encouraging their International Patient Departments
(IPD) to provide high-quality medical services at a cost-effective rate for international …
(IPD) to provide high-quality medical services at a cost-effective rate for international …
Design and development of a digital diagnostic clinical pathway: evidence from an action research study
A Calabrese, A D'Uffizi, N Levialdi Ghiron… - European Journal of …, 2024 - emerald.com
Purpose The primary objective of this paper is to show a systematic and methodological
approach for the digitalization of critical clinical pathways (CPs) within the healthcare …
approach for the digitalization of critical clinical pathways (CPs) within the healthcare …