Solving Nurse Scheduling Problem via Genetic Algorithm in Home Healthcare

2020 ◽  
pp. 20-28
Author(s):  
Şahin İnanç ◽  
Arzu Eren Şenaras
Keyword(s):  
Genetic Algorithm ◽  
Programming Language ◽  
Home Healthcare ◽  
Scheduling Problem ◽  
Nurse Scheduling ◽  
Head Nurse ◽  
Scheduling System ◽  
C Programming Language ◽  
C Programming ◽  
Night Shifts

The nurse scheduling problem (NSP) is the problem involving allocating the monthly shifts (day and night shifts, holidays, and so on) for nurses under various constraints. Generally, the NSP has a lot of constraints. As a result, it needs a lot of knowledge and experience to make the scheduling table with its constraints, and it has been made by the head nurse or the authority in the hospitals. This allocation of the shifts gives a lot of burden (time and efforts) to them, and it has been growing the demand for the automatic nurse scheduling system. This chapter aims to develop a genetic algorithm application for the Nurse Scheduling Problem (NSP). The application will be developed using Microsoft Visual Studio in C# programming language.

Solving Nurse Scheduling Problem via Genetic Algorithm in Home Healthcare

2021 ◽  
pp. 1207-1214
Author(s):  
Şahin İnanç ◽  
Arzu Eren Şenaras
Keyword(s):  
Genetic Algorithm ◽  
Programming Language ◽  
Home Healthcare ◽  
Scheduling Problem ◽  
Nurse Scheduling ◽  
Head Nurse ◽  
Scheduling System ◽  
C Programming Language ◽  
C Programming ◽  
Night Shifts

The nurse scheduling problem (NSP) is the problem involving allocating the monthly shifts (day and night shifts, holidays, and so on) for nurses under various constraints. Generally, the NSP has a lot of constraints. As a result, it needs a lot of knowledge and experience to make the scheduling table with its constraints, and it has been made by the head nurse or the authority in the hospitals. This allocation of the shifts gives a lot of burden (time and efforts) to them, and it has been growing the demand for the automatic nurse scheduling system. This chapter aims to develop a genetic algorithm application for the Nurse Scheduling Problem (NSP). The application will be developed using Microsoft Visual Studio in C# programming language.

scholarly journals A FASHION COLOUR COMBINATION VISUALIZATION MODEL USING GENETIC ALGORITHM

2017 ◽  
Vol 15 (2) ◽  
pp. 51-60
Author(s):  
O S SALAKO ◽  
C O OLORUNTOBA ◽  
O V SANUSI ◽  
A A MARUF-SOGEYINBO
Keyword(s):  
Genetic Algorithm ◽  
Programming Language ◽  
Online Survey ◽  
C Programming Language ◽  
Initial Stage ◽  
C Programming ◽  
Fashion Designers ◽  
Stage Analysis

Selecting appropriate colours poses great challenge for expert fashion designers and users. At times, different coloured fabrics and textiles have to be manually placed side by side to see how well they combine. In this paper, a model was developed for fashion colour combination visualization for ladies using concepts in genetic algorithm to achieve a display of colour variations. This research involved 26 users to suggest rules that guide choosing fashion colour combination for ladies in the initial stage. Analysis of the questionnaire was carried out in an online survey site. Two of the suggestions made by the users were considered. These are light colours on dark colours and stripped colours on plain colours. The system was implemented using C# programming language and XAML. It was found to be a useful tool to users and fashion designers for the visualization of fashion colour combination for ladies. 

scholarly journals Parallel programming technologies on computer complexes

2020 ◽  
Vol 30 (3) ◽  
pp. 28-33 ◽  
Author(s):  
S. A. Pryadko ◽  
A. Yu. Troshin ◽  
V. D. Kozlov ◽  
A. E. Ivanov
Keyword(s):  
Parallel Programming ◽  
Shared Memory ◽  
Programming Language ◽  
Operating Systems ◽  
Distributed Memory ◽  
Programming Models ◽  
Writing Programs ◽  
Advantages And Disadvantages ◽  
C Programming Language ◽  
C Programming

The article describes various options for speeding up calculations on computer systems. These features are closely related to the architecture of these complexes. The objective of this paper is to provide necessary information when selecting the capability for the speeding process of solving the computation problem. The main features implemented using the following models are described: programming in systems with shared memory, programming in systems with distributed memory, and programming on graphics accelerators (video cards). The basic concept, principles, advantages, and disadvantages of each of the considered programming models are described. All standards for writing programs described in the article can be used both on Linux and Windows operating systems. The required libraries are available and compatible with the C/C++ programming language. The article concludes with recommendations on the use of a particular technology, depending on the type of task to be solved.

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