In this work, we integrate computational techniques based on machine learning (ML) and computational intelligence (IC) to conventional methodologies used in the Operational Research (OR) degree course for Engineers. That synergy between those techniques and methods allows students to deal with complex problems. The main contribution of this paper is to present a different proposal for OR courses using the synergy between mathematical models employing computer simulations, IC and different hybrid models.
|Title of host publication||EDUNINE 2019 - 3rd IEEE World Engineering Education Conference|
|Subtitle of host publication||Modern Educational Paradigms for Computer and Engineering Career, Proceedings|
|Editors||Claudio Da Rocha Brito, Melany M. Ciampi|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 1 Mar 2019|
|Event||EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings - |
Duration: 1 Mar 2019 → …
|Conference||EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings|
|Period||1/03/19 → …|
Bibliographical notePublisher Copyright:
© 2019 IEEE.
- hybrid models
- machine learning
- operational research