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Automated Design (AutoDes): Current Trends and Future Research Directions

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Automated Design of Machine Learning and Search Algorithms

Part of the book series: Natural Computing Series ((NCS))

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.

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Reference

  1. T. Nyathi, Automated Design of Genetic Programming Classification Algorithms. Ph.D. thesis, School of Mathematics, Statistics and Computer Science, December (2018)

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Correspondence to Nelishia Pillay .

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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

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  • DOI: https://doi.org/10.1007/978-3-030-72069-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72068-1

  • Online ISBN: 978-3-030-72069-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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