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Genetic Algorithms for Scheduling Examinations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The range of problems to which genetic algorithms have been applied is quite broad. Timetable scheduling is a complex optimization problem. The purpose is to solve this problem by using genetic algorithms. There are two implementations for this problem: the first one solves the complete issue, and the second one divides the problem into two phases and solves the second phase. The results show that the second implementation has better solutions than the first one.

Original languageEnglish
Title of host publicationProceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3
EditorsLeonard Barolli, Isaac Woungang, Tomoya Enokido
Place of PublicationSwitzerland
PublisherSpringer Cham
Pages524-532
Volume3
ISBN (Print)9783030750770, 9783030750787
DOIs
Publication statusPublished - 31 Dec 2021
EventAINA 2021: The 35th International Conference on Advanced Information Networking and Applications - Ryerson University, Canada, Toronto, Canada
Duration: 12 May 202114 May 2021

Publication series

NameLecture Notes in Networks and Systems
NumberLNNS227

Conference

ConferenceAINA 2021: The 35th International Conference on Advanced Information Networking and Applications
CityToronto, Canada
Period12/05/2114/05/21

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