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

Created by W.Langdon from gp-bibliography.bib Revision:1.7644

@InCollection{Pillay:2021:ADMLSAend,

• author = "Nelishia Pillay",
• title = "Automated Design ({AutoDes}): Current Trends and Future Research Directions",
• booktitle = "Automated Design of Machine Learning and Search Algorithms",
• publisher = "Springer",
• year = "2021",
• editor = "Nelishia Pillay and Rong Qu",
• series = "Natural Computing Series",
• pages = "185--187",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-030-72068-1",
• DOI = "doi:10.1007/978-3-030-72069-8_11",
• 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.",

}

Genetic Programming entries for Nelishia Pillay

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