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An Overview of Meta-Analytics: The Promise of Unifying Metaheuristics and Analytics

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Business and Consumer Analytics: New Ideas

Abstract

Meta-analytics represents the unification of metaheuristics and analytics, two fields of the foremost interest and practical importance. While metaheuristics provide a modern framework and an arsenal of cutting-edge techniques to handle complex, real-world problems, Analytics embodies the use of prediction and optimization techniques in practical contexts. Thus, their marriage can be regarded as a natural step towards both the creation of effective tools for problems in the Analytics domain and the expansion of the scope of metaheuristic techniques. This introductory chapter describes the advantages obtained by the synergies of the techniques and the avenues for achieving such a unification of methodologies, and discusses some important themes in the field. We also introduce contributions contained in this section, in which these themes are explored in more detail.

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Notes

  1. 1.

    https://www.informs.org/.

  2. 2.

    http://analytics-magazine.org/.

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Acknowledgements

The authors wish to thank Mohammad Nazmul Haque and Pablo Moscato in connection to the subsection on ensemble learning. Carlos Cotta acknowledges support from Spanish Ministry of Economy and Competitiveness and European Regional Development Fund (FEDER) under project EphemeCH (TIN2014-56494-C4-1-P). This research was also supported in part by the Key Laboratory of International Education Cooperation of Guangdong University of Technology.

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Authors and Affiliations

  1. Leeds School of Business and the College of Engineering & Applied Science, University of Colorado, Boulder, CO, USA

    Fred Glover

  2. ETSI Informática, Universidad De Málaga, Malaga, Spain

    Carlos Cotta

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  1. Fred Glover
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  2. Carlos Cotta
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Correspondence to Fred Glover .

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Editors and Affiliations

  1. School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, Australia

    Pablo Moscato

  2. School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, Australia

    Natalie Jane de Vries

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Glover, F., Cotta, C. (2019). An Overview of Meta-Analytics: The Promise of Unifying Metaheuristics and Analytics. In: Moscato, P., de Vries, N. (eds) Business and Consumer Analytics: New Ideas. Springer, Cham. https://doi.org/10.1007/978-3-030-06222-4_17

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  • DOI: https://doi.org/10.1007/978-3-030-06222-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06221-7

  • Online ISBN: 978-3-030-06222-4

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