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A Genetic Algorithm Solution for Scheduling Problem

  • Universidad del Istmo
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-review

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2021

Publication status

Published - 01/01/2021

Publisher

Institute of Electrical and Electronics Engineers Inc.

Publication series

  • Publication series name: CONIIN 2021 - 17th International Engineering Congress

ISBN (Electronic)

9781665407243

Publication IDs

  • Scopus: 85123726256

Host publication title

CONIIN 2021 - 17th International Engineering Congress

Abstract

This paper proposes a solution for university timetable scheduling problem through a Genetic Algorithm. The solution to this problem consists of assigning schedules, subjects and human resources, this for the correct distribution of classes in the Computer Engineering career at the University of Isthmus, in Sto. Domingo Tehuantepec Oaxaca, Mexico. The problem of generating schedules in an educational institution increases in complexity depending on the number of professors, the number of subjects taught and all the constraints existing in that assignment. And so, the need arises to find alternative solutions for this laborious process, one of which is the implementation of a Genetic Algorithm.

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Scopus
citations
SciVal
FWCI
0.50

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