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Brazilian Conference on Intelligent Systems

BRACIS 2020: Intelligent Systems pp 49–63Cite as

Applying Dynamic Evolutionary Optimization to the Multiobjective Knapsack Problem

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12319))

Abstract

Real-world discrete problems are often also dynamic making them very challenging to be optimized. Here we focus on the employment of evolutionary algorithms to deal with such problems. In the last few years, many evolutionary optimization algorithms have investigated dynamic problems, being that some of the most recent papers investigate formulations with more than one objective to be optimized at the same time. Although evolutionary optimization had revealed very competitive algorithms in different applications, both multiobjective formulations and dynamic problems need to apply specific strategies to perform well. In this work, we investigate four algorithms proposed for dynamic multiobjective problems: DNSGA-II, MOEA/D-KF, MS-MOEA and DNSGA-III. The first three were previously proposed in the literature, where they were applied just in continuous problems. We aim to observe the behavior of these algorithms in a discrete problem: the Dynamic Multiobjective Knapsack Problems (DMKP). Our results have shown that some of them are also promising for applying to problems with discrete space.

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Acknowledgment

The authors thank FAPEMIG, CAPES and CNPq.

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Authors and Affiliations

  1. Federal University of Uberlândia, Uberlândia, MG, Brazil

    Thiago Fialho de Queiroz Lafetá & Gina Maira Barbosa de Oliveira

Authors
  1. Thiago Fialho de Queiroz Lafetá
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  2. Gina Maira Barbosa de Oliveira
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Corresponding authors

Correspondence to Thiago Fialho de Queiroz Lafetá or Gina Maira Barbosa de Oliveira .

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Editors and Affiliations

  1. Federal University of São Carlos, São Carlos, Brazil

    Ricardo Cerri

  2. Federal University of ABC, Santo Andre, Brazil

    Ronaldo C. Prati

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de Queiroz Lafetá, T.F., de Oliveira, G.M.B. (2020). Applying Dynamic Evolutionary Optimization to the Multiobjective Knapsack Problem. In: Cerri, R., Prati, R.C. (eds) Intelligent Systems. BRACIS 2020. Lecture Notes in Computer Science(), vol 12319. Springer, Cham. https://doi.org/10.1007/978-3-030-61377-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-61377-8_4

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  • Online ISBN: 978-3-030-61377-8

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