A Two-Stage Genetic Artificial Bee Colony Algorithm for Solving Integrated Operating Room Planning and Scheduling Problem With Capacity Constraints of Downstream Wards

Tayyab, Aisha; Ullah, Saif

doi:10.1109/access.2022.3229709

Cited by 8 publications

(3 citation statements)

References 65 publications

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“…To solve the model, the study was based on genetic algorithm and ABC of genetic ABC. Experimental results showed that the algorithm can solve the best result in a shorter time and the quality of its solution is better than other comparative algorithms [ 8 ]. J. Q. Li et al proposed a hybrid ABC to solve the parallel batch distributed flow shop problem.…”

Section: Related Workmentioning

confidence: 99%

Application of artificial bee colony algorithm based on homogenization mapping and collaborative acquisition control in network communication security

Zhang,

Wang,

Wang

2024

PLoS ONE

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In order to optimize the spectrum allocation strategy of existing wireless communication networks and improve information transmission efficiency and data transmission security, this study uses the independent correlation characteristics of chaotic time series to simulate the collection and control strategy of bees, and proposes an artificial bee colony algorithm based on uniform mapping and collaborative collection control. Furthermore, it proposes an artificial bee colony algorithm based on uniform mapping and collaborative collection and control. The method begins by establishing a composite system of uniformly distributed Chebyshev maps. In the neighborhood intervals where the nectar sources are firmly connected and relatively independent, the algorithm then conducts a chaotic traversal search. The research results demonstrated the great performance of the suggested algorithm in each test function as well as the positive effects of the optimization search. The network throughput rate was over 300 kbps, the quantity of security service eavesdropping was below 0.1, and the spectrum utilization rate of the algorithm-based allocation method could be enhanced to 0.8 at the most. Overall, the performance of the proposed algorithm outperformed the comparison algorithm, with high optimization accuracy and a significant amount of optimization. This is favorable for the efficient use of spectrum resources and the secure transmission of communication data, and it encourages the development of spectrum allocation technology in wireless communication networks.

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Section: Related Workmentioning

confidence: 99%

Application of artificial bee colony algorithm based on homogenization mapping and collaborative acquisition control in network communication security

Zhang,

Wang,

Wang

2024

PLoS ONE

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“…Moreover, it is not practical to assume turnover or sterilization time based on the length of the surgery. Thus, it needs to be considered separately, and the current study explicitly considers the sequence dependent setup times for advanced and allocation scheduling of surgeries in heterogeneous operating rooms, which is limited in literature [1,30,31].…”

Section: Introductionmentioning

confidence: 99%

“…The operating room planning and scheduling is NP-hard [74], and therefore, different metaheuristics have also been applied to solve this problem in reasonable computation to get near-optimal results [75,76]. Most researchers have studied operating room planning and scheduling problems using simulated annealing [77], genetic algorithm [44], constructive heuristics [4], hybrid simulated annealing [72], Tabu search [23,78], hill climbing algorithms [79], artificial bee colony algorithm [31], and ant colony algorithm [80,81], etc. The metaheuristics are the most common in operating room planning and scheduling literature [44,62,72,82].…”

Section: Introductionmentioning

confidence: 99%

An Outer Approximation Method for Scheduling Elective Surgeries with Sequence Dependent Setup Times to Multiple Operating Rooms

2023

Self Cite

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In this paper, operating room planning and scheduling problems have been studied. In operating room planning, the allocation of patients to operating rooms and their sequencing are critical in determining the performance of operating rooms. In this paper, three surgery scheduling decisions are considered, including the number of operating rooms to open, the allocation of surgeries to operating rooms, and the sequencing of surgeries in allocated operating rooms. All the surgeries under consideration are elective, and surgery durations are considered deterministic. Further, it is considered that the surgeries have different specialties, and each operating room can accommodate a particular specialty of surgeries, i.e., heterogeneous operating rooms are considered in the current study. Before performing a surgery, setup time is required for operating room turnover and sterilization, and it is considered sequence dependent. A mixed integer nonlinear programming (MINLP) model is developed to minimize the overtime costs of operating rooms for allocation and surgery sequencing with sequence dependent setup times. An outer approximation (OA) method is proposed to solve the problem near optimally. Experiments are conducted to compare the performance of the proposed OA method with the standard mixed integer nonlinear programming model. Computational results show the efficiency of the proposed OA method. Later, a case data from a case hospital is collected and a case study is solved.

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A slack speed-up based discrete artificial bee colony algorithm for resource-constrained operating room scheduling problem

Yang,

Pan,

Sang

et al. 2023

Computers & Industrial Engineering

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A Two-Stage Genetic Artificial Bee Colony Algorithm for Solving Integrated Operating Room Planning and Scheduling Problem With Capacity Constraints of Downstream Wards

Cited by 8 publications

References 65 publications

Application of artificial bee colony algorithm based on homogenization mapping and collaborative acquisition control in network communication security

Application of artificial bee colony algorithm based on homogenization mapping and collaborative acquisition control in network communication security

An Outer Approximation Method for Scheduling Elective Surgeries with Sequence Dependent Setup Times to Multiple Operating Rooms

A slack speed-up based discrete artificial bee colony algorithm for resource-constrained operating room scheduling problem

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