A Genetic Algorithm Solution for Scheduling Problem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationCONIIN 2021 - 17th International Engineering Congress
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665407243
DOIs
StatePublished - 1 Jan 2021
Externally publishedYes
Event17th International Engineering Congress, CONIIN 2021 - Santiago de Queretaro, Mexico
Duration: 14 Jun 202118 Jun 2021

Publication series

NameCONIIN 2021 - 17th International Engineering Congress

Conference

Conference17th International Engineering Congress, CONIIN 2021
Country/TerritoryMexico
CitySantiago de Queretaro
Period14/06/2118/06/21

Keywords

  • Constraints
  • Crossover
  • Fitness
  • Genetic Algorithm
  • Mutation
  • Penalties
  • Programming Schedules
  • Subjects
  • Timetabling

Fingerprint

Dive into the research topics of 'A Genetic Algorithm Solution for Scheduling Problem'. Together they form a unique fingerprint.

Cite this