Exploring the use of Genetic Algorithms Toolbox in Engineering Education: Did it Provide an Interesting Learning Experience for Students?
Exploring the use of Genetic Algorithms Toolbox in Engineering Education: Did it Provide an Interesting Learning Experience for Students?
Author(s): Muhammad Anwar, Hendra Hidayat, Elsa SabrinaSubject(s): Education, Education and training
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Engineering education; genetic algorithm; digital filter design; signal processing
Summary/Abstract: Teaching in engineering education using Genetic Algorithms (GAs) toolbox as a teaching tool in engineering education can be an effective approach, particularly in Signal Processing subjects, as it encourages students to learn how to find optimal values required in designing digital filters. This research investigates the use of GAs for teaching digital filter design, where the evaluation function of the problem is optimized using Gas. The GAs toolbox simulation is designed to yield a stable, lowest-order H[z] that meets the tolerance parameters and satisfies the design criteria. Teaching GAs involves representing the filter design problem in a way that can be accepted by genetic programming.
Journal: TEM Journal
- Issue Year: 12/2023
- Issue No: 3
- Page Range: 1719-1724
- Page Count: 6
- Language: English
