A Genetic Algorithm to Determine Research Consultation Schedules in Campus Environment

Scheduling algorithm is one of computation problem with high complexity. One of the problems is a difficulty to determine an optimal scheduling alternative that is adjusted with the constraints needed. This study aims to test whether the Genetic Algorithm (GA) program that was built was successful f...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-03, Vol.796 (1), p.12033
Main Authors: Idroes, R, Maulana, A, Noviandy, T R, Suhendra, R, Sasmita, N R, Lala, A, Irvanizam
Format: Article
Language:English
Subjects:
Data simulation
Fitness
Genetic algorithms
Optimization
Schedules
Scheduling
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Summary:Scheduling algorithm is one of computation problem with high complexity. One of the problems is a difficulty to determine an optimal scheduling alternative that is adjusted with the constraints needed. This study aims to test whether the Genetic Algorithm (GA) program that was built was successful for maximizing the value of fitness. The data used in this study is data simulation from the GA Program. Based on the result of this study, we can concluded that the GA program can be used for scheduling because it has good accuracy. This can be seen from the fitness value of 1 and there is no clash between one schedule and another schedule and there are no restrictions that are violated.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/796/1/012033