Multi-objective Optimization

J. Manuel Colmenar (), Alberto Herrán () and Raúl Martín-Santamaría ()
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J. Manuel Colmenar: Universidad Rey Juan Carlos
Alberto Herrán: Universidad Rey Juan Carlos
Raúl Martín-Santamaría: Universidad Rey Juan Carlos

Chapter Chapter 14 in Discrete Diversity and Dispersion Maximization, 2023, pp 323-346 from Springer

Abstract: Abstract Diversity problems are usually studied from a single-objective point of view. However, two or more diversity functions could present opposite or divergent behavior, which requires a multi-objective point of view. To illustrate this kind of problems, this chapter presents the study of the bi-objective diversity problem (BODP), which considers the MaxSum and the MaxMin as objective functions to simultaneously maximize. Six different multi-objective algorithms have been described, analyzing their results on six performance metrics using a subset of instances from the MDPLIB 2.0 library.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-38310-6_14

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DOI: 10.1007/978-3-031-38310-6_14

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