A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem

Guido, Rosita; Conforti, Domenico

doi:10.1016/j.cor.2016.11.009

Cited by 82 publications

(32 citation statements)

References 33 publications

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“…[ 119 ]. To improve the performance in the above-mentioned areas of scheduling, researchers developed various genetic representation [ 12 , 159 , 215 ], genetic operators, and hybridized GA with other methods [ 2 , 67 , 147 , 219 ].…”

Section: Applicationsmentioning

confidence: 99%

A review on genetic algorithm: past, present, and future

Katoch

Chauhan

Kumar

2020

Multimed Tools Appl

1,971

588

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In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algorithms and their implementation are presented with their pros and cons. The genetic operators and their usages are discussed with the aim of facilitating new researchers. The different research domains involved in genetic algorithms are covered. The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching.

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Section: Applicationsmentioning

confidence: 99%

A review on genetic algorithm: past, present, and future

Katoch

Chauhan

Kumar

2020

Multimed Tools Appl

1,971

588

View full text Add to dashboard Cite

show abstract

“…The signals in the network could be relayed via these VCs [16][17][18][19][20][21]. A number of VCs can communicate smoothly with central ports with any downlink [21][22][23][24][25][26] or uplink [27][28][29][30][31][32][33] transmission of data.…”

Section: System Modelmentioning

confidence: 99%

A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks

Wang

Gillbanks

et al. 2019

Symmetry

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With the development of modern society, there are not only many voice calls being made over wireless communication systems, but there is also a great deal of demand for data services. There are increasing demands from the general public for more information data, especially for high-speed services with elevated Gbps levels. As is well known, higher sending power is needed once data rates increase. In order to solve this problem, virtual cellular networks (VCNs) can be employed in order to reduce these peak power shifts. If a VCN works well, mobile ports will receive their own wireless signals via individual cells, and then, the signals will access core networks with the help of a central terminal. Power control can improve the power capacity in multi-hop networks. However, the use of power control will also have a negative impact on network connectivity, delay, and capacity. In order to address the problem, this paper compares specific control methods and capacities in multi-hop networks. Distributed chicken game algorithm power control (DCGAPC) methods are presented in order to reach acceptable minimum levels of network delay and maximum network capacity and connectivity. Finally, a computer simulation is implemented, and the results are shown.

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“…Although much attention has already been paid to OR scheduling problems, we also have found some open issues: For patients, it is important to reduce patient waiting time and to schedule as many surgeries as possible during the planning period to improve patient satisfaction. However, although most researchers are aware of the seriousness of this problem, they mainly have focused on the time a patient waits for surgery on the day of surgery [34], and we should be aware of optimizing the waiting time for all patients: Increasing surgeries and the number of scheduled surgeries is crucial. For hospital administrators, improving the utilization rate of ORs and maintaining a balanced working time is also a problem worthy of study to increase hospital income and improve the satisfaction of medical staff.…”

Section: Introductionmentioning

confidence: 99%

Multi-phase and Integrated Multi-objective Cyclic Operating Room Scheduling Based on an Improved NSGA-ⅡApproach

Zhu

Dong

et al. 2019

Symmetry

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The operating room (OR) is an important department in a hospital, and the scheduling of surgeries in ORs is a challenging combinatorial optimization problem. In this paper, we address the problem of multiple resource allocation of ORs and propose a surgery scheduling scheme for OR units. To solve this problem, a multi-phase and integrated multi-objective linear programming model is proposed. The first phase of the proposed model is a resource allocation model, which mainly focuses on the allocation of ORs for each surgical specialty (SS). Based on the results of the first phase, the second phase is the cyclic Master Surgical Schedule model, which aims to schedule the surgeries in each SS. The proposed models are solved by the Non-dominated Sorting Genetic Algorithm II (NSGA-II), which was improved. Finally, two numerical experiments based on practical data are provided to verify the effectiveness of the proposed models as well as to evaluate the performance of the improved NSGA-II. Our final results illustrate that our proposed model can provide hospital managers with a series of “optimal” solutions to effectively allocate relevant resources and ORs for surgeries, and they show that the improved NSGA-II has high computational efficiency and is more suitable in solving larger-scale problems.

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A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem

Cited by 82 publications

References 33 publications

A review on genetic algorithm: past, present, and future

A review on genetic algorithm: past, present, and future

A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks

Multi-phase and Integrated Multi-objective Cyclic Operating Room Scheduling Based on an Improved NSGA-ⅡApproach

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