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Operating Room Scheduling Method Based on Hybrid Gray Wolf-Variable Neighborhood Search Algorithm

A technology of variable neighborhood search and scheduling methods, applied in the computer field, can solve problems such as operating room scheduling problems, solve impacts, etc., achieve the effect of solving operating room scheduling problems, solving high complexity, and improving operating room scheduling efficiency

Active Publication Date: 2021-04-06
HEFEI UNIV OF TECH
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  • Claims
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Problems solved by technology

However, under normal circumstances, the number of patients in each department changes dynamically. In addition, the allocation of the number of operating rooms to departments, the allocation of doctors to operating rooms, and the allocation of patients to operating rooms will affect the solution of the operating room scheduling problem. influences

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  • Operating Room Scheduling Method Based on Hybrid Gray Wolf-Variable Neighborhood Search Algorithm
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  • Operating Room Scheduling Method Based on Hybrid Gray Wolf-Variable Neighborhood Search Algorithm

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[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] For ease of understanding, the following combination figure 1 The technical problems solved by the embodiments of the present invention are described in detail.

[0050] Such as figure 1 As stated, the operating room scheduling problem aims to minimize patient waiting costs and operating room overtime costs. The problem is described as follows: Given R operating rooms and S doct...

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Abstract

The embodiment of the present invention provides an operating room scheduling method and device based on the hybrid gray wolf-variable neighborhood search algorithm. The method uses the hybrid gray wolf-variable neighborhood search algorithm to first set algorithm parameters and randomly generate an initial solution. Then calculate the fitness value and determine the best three solutions; then perform a variable neighborhood search transformation on the best three solutions to improve the quality of the solution; perform a crossover operation on the population based on the fitness of the solution, and through repeated iterations, realize The population is continuously updated, and finally the optimal solution is obtained. In the embodiment of the present invention, the hybrid gray wolf-variable neighborhood search algorithm has better convergence speed and convergence results, solves the highly complex operating room scheduling problem, and improves the hospital's operating room scheduling efficiency.

Description

【Technical field】 [0001] The invention relates to the field of computer technology, in particular to an operating room scheduling method and device based on a hybrid gray wolf-variable neighborhood search algorithm. 【Background technique】 [0002] The efficiency of hospital resource scheduling determines the level of service quality, and operating room scheduling is one of the most important links in hospital resource scheduling. Operating room scheduling needs to systematically consider various factors such as resource constraints, number of doctors, types of doctors, number of patients, duration of surgery, etc., which is a challenging topic in recent years. At present, intelligent algorithms have been widely used in various operating room scheduling problems, such as genetic algorithm, simulated annealing algorithm, and tabu search algorithm. [0003] In the existing scheduling model, usually only one day's operation allocation plan is considered, and patients are alloca...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H40/20G06N3/00
CPCG06N3/006G16H40/20
Inventor 范雯娟朱淑婉杨善林裴军丁帅刘同柱偶德峻
Owner HEFEI UNIV OF TECH
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