In this paper, a novel swarm‐based metaheuristic algorithm is proposed, which is called
tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative …

Healthcare workers and nurses in Home HealthCare (HHC) are routed and scheduled to
perform various services at patients' homes. These services often involve a combination of …

To cater to the increasing demands, particularly during diseases such as Covid-19, the
design and planning of home health care systems is of significant importance. The current …

Population aging and a shortage of medical resources are driving the growth of home health
care (HHC). Many HHC studies have focused on developing an optimal routing plan to …

In developing countries, the demand for old aged people requiring private health care at
home is dramatically growing with the improvement of living standards. Since vehicles are …

In China, with the acceleration of the population aging, the demand for home health care is
growing rapidly. However, the available caregivers are insufficient to serve all the customers …

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 …

The tuna swarm optimization algorithm (TSO) is a new heuristic algorithm proposed by
observing the foraging behavior of tuna populations. The advantages of TSO are a simple …

This paper addresses a home health care routing and scheduling problem (HHCRSP)
specifically focusing on the context of a pandemic environment. The investigated HHCRSP …

At present, home health care services supply is still insufficient and unbalanced in China,
and the elderly nursing manpower is particularly scarce. Therefore, it is important to …