Abstract
The book has presented current trends and state-of-the-art advancements in the automated design of machine learning and search algorithms. In this context, we define automated design(AutoDes) to include automated algorithm/approach configuration, composition, and selection. This chapter provides a conclusion to the book by bringing together these contributions, highlighting different focus areas, and setting the agenda for future research directions. This is presented in terms of reusability in automated design, explainable automated design, computational costs, theoretical aspects, automated design standardization, and semi-automated design.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Reference
T. Nyathi, Automated Design of Genetic Programming Classification Algorithms. Ph.D. thesis, School of Mathematics, Statistics and Computer Science, December (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pillay, N. (2021). Automated Design (AutoDes): Current Trends and Future Research Directions. In: Pillay, N., Qu, R. (eds) Automated Design of Machine Learning and Search Algorithms. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-030-72069-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-72069-8_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-72068-1
Online ISBN: 978-3-030-72069-8
eBook Packages: Computer ScienceComputer Science (R0)