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Discrete Diversity Optimization: Models and Instances

In: Discrete Diversity and Dispersion Maximization

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  • Anna Martínez-Gavara

    (University of Valencia)

Abstract

Maximizing diversity currently constitutes an important area in operations research (OR). Given a set of elements, diversity or dispersion problems consist in the selection of a subset of them in such a way that the diversity of the selected elements is maximized. These problems have been studied in depth over the last 30 years from an OR perspective. Different mathematical models have been proposed to include different aspects and to model realistic variants with the inclusion of capacity and cost constraints. This chapter introduces the terminology and models of diversity problems that will be considered through this book, their main applications and the benchmark library instances used to solve them.

Suggested Citation

  • Anna Martínez-Gavara, 2023. "Discrete Diversity Optimization: Models and Instances," Springer Optimization and Its Applications, in: Rafael Martí & Anna Martínez-Gavara (ed.), Discrete Diversity and Dispersion Maximization, chapter 0, pages 3-15, Springer.
    • Handle: RePEc:spr:spochp:978-3-031-38310-6_1
    DOI: 10.1007/978-3-031-38310-6_1
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