Learning classical and metaheuristic optimization techniques by using an educational platform based on LEGO robots

Daniel Zaldivar, Erik Cuevas, Oscar Maciel, Arturo Valdivia, Edgar Chavolla, Diego Oliva

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Optimization is a very important issue to efficiently solve engineering problems. The clear comprehension of the elements and processes of optimizer algorithms is fundamental to ensure that engineer students are capable to apply, tune, and design new algorithms. This paper presents an educational platform based on LEGO

Original languageEnglish
JournalInternational Journal of Electrical Engineering Education
DOIs
Publication statusAccepted/In press - 2019
Externally publishedYes

Keywords

  • algorithms
  • education
  • metaheuristics
  • Optimization
  • robotics

ASJC Scopus subject areas

  • Education
  • Electrical and Electronic Engineering

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