A Comparative Study of Three Artificial Intelligence Techniques: Genetic Algorithm, Neural Network, and Fuzzy Logic, on Scheduling Problem

Abdollah Ansari, Azuraliza Abu Bakar

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

14 Citations (Scopus)

Abstract

Since scheduling process is an important and complicated process, many programmers have been searching and working on this issue for years. Still many researchers in the academic institutes are trying to find the best solution. As time is money, time optimization is the most important point, which makes the researchers develop a system for scheduling at the best way by applying the best solution. Once look at the production line of a factory or the number of classes and classrooms in a university, shows that having a time table in these places not only helps regulate things, but also it helps optimize consumption of resources such as time and energy within the constraints and limitations. This paper explains and reviews the three techniques, which have previously been applied on scheduling domain by researchers and developers among several artificial intelligence techniques. These three techniques i.e. Genetic Algorithm, Neural Network and Fuzzy Logic will be defined, discussed and compared in terms of some measures.

Original languageEnglish
Title of host publicationProceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-36
Number of pages6
ISBN (Print)9781479979103
DOIs
Publication statusPublished - 9 Dec 2015
Event4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 - Kota Kinabalu, Sabah, Malaysia
Duration: 2 Dec 20145 Dec 2014

Other

Other4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014
CountryMalaysia
CityKota Kinabalu, Sabah
Period2/12/145/12/14

Fingerprint

Fuzzy logic
Artificial intelligence
Genetic algorithms
Scheduling
Neural networks
Industrial plants

Keywords

  • Artificial Intelligence
  • Fuzzy logic
  • Genetic Algorithm
  • Neural Network
  • Scheduling Problem

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering (miscellaneous)
  • Artificial Intelligence

Cite this

Ansari, A., & Abu Bakar, A. (2015). A Comparative Study of Three Artificial Intelligence Techniques: Genetic Algorithm, Neural Network, and Fuzzy Logic, on Scheduling Problem. In Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 (pp. 31-36). [7351809] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIET.2014.15

A Comparative Study of Three Artificial Intelligence Techniques : Genetic Algorithm, Neural Network, and Fuzzy Logic, on Scheduling Problem. / Ansari, Abdollah; Abu Bakar, Azuraliza.

Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 31-36 7351809.

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

Ansari, A & Abu Bakar, A 2015, A Comparative Study of Three Artificial Intelligence Techniques: Genetic Algorithm, Neural Network, and Fuzzy Logic, on Scheduling Problem. in Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014., 7351809, Institute of Electrical and Electronics Engineers Inc., pp. 31-36, 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014, Kota Kinabalu, Sabah, Malaysia, 2/12/14. https://doi.org/10.1109/ICAIET.2014.15
Ansari A, Abu Bakar A. A Comparative Study of Three Artificial Intelligence Techniques: Genetic Algorithm, Neural Network, and Fuzzy Logic, on Scheduling Problem. In Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 31-36. 7351809 https://doi.org/10.1109/ICAIET.2014.15
Ansari, Abdollah ; Abu Bakar, Azuraliza. / A Comparative Study of Three Artificial Intelligence Techniques : Genetic Algorithm, Neural Network, and Fuzzy Logic, on Scheduling Problem. Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 31-36
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