A Genetic Algorithm Solution for Scheduling Problem
- Ernesto Cortes Perez,
- Osiris Montero Rios,
- Daniel Pacheco Bautista,
- Sergio Sanchez Sanchez,
- Universidad del Istmo
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-reviewPublication Information
Output type
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-reviewOriginal language
EnglishPublication 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)
9781665407243Publication IDs
- Scopus: 85123726256
Host publication title
CONIIN 2021 - 17th International Engineering CongressAbstract
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.
Publication metrics
Metrics
SciVal
FWCI
0.50
PlumX, opens in new tab
Captures
3
Citation count
1
