Operational research and machine learning: An engineering course

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Abstract

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.
Original languageEnglish
Title of host publicationEDUNINE 2019 - 3rd IEEE World Engineering Education Conference
Subtitle of host publicationModern Educational Paradigms for Computer and Engineering Career, Proceedings
EditorsClaudio Da Rocha Brito, Melany M. Ciampi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-7281-1666-2
DOIs
StatePublished - 1 Mar 2019
EventEDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings -
Duration: 1 Mar 2019 → …

Conference

ConferenceEDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
Period1/03/19 → …

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • hybrid models
  • machine learning
  • operational research
  • optimization

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