Exploring the use of Genetic Algorithms Toolbox in Engineering Education: Did it Provide an Interesting Learning Experience for Students?
Author:
Anwar Muhammad1,
Hidayat Hendra1,
Sabrina Elsa1
Affiliation:
1. Universitas Negeri Padang, Jalan Prof Hamka Kampus Air Tawar Barat, Padang, Indonesia
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.
Publisher
Association for Information Communication Technology Education and Science (UIKTEN)
Subject
Management of Technology and Innovation,Information Systems and Management,Strategy and Management,Education,Information Systems,Computer Science (miscellaneous)