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International Conference on Evolutionary Multi-Criterion Optimization

EMO 2015: Evolutionary Multi-Criterion Optimization pp 48–63Cite as

To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9018))

Abstract

Differential evolution (DE) research for multi-objective optimization can be divided into proposals that either consider DE as a stand-alone algorithm, or see DE as an algorithmic component that can be coupled with other algorithm components from the general evolutionary multiobjective optimization (EMO) literature. Contributions of the latter type have shown that DE components can greatly improve the performance of existing algorithms such as NSGA-II, SPEA2, and IBEA. However, several experimental factors have been left aside from that type of algorithm design, compromising its generality. In this work, we revisit the research on the effectiveness of DE for multi-objective optimization, improving it in several ways. In particular, we conduct an iterative analysis on the algorithmic design space, considering DE and environmental selection components as factors. Results show a great level of interaction between algorithm components, indicating that their effectiveness depends on how they are combined. Some designs present state-of-the-art performance, confirming the effectiveness of DE for multi-objective optimization.

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Authors and Affiliations

  1. IRIDIA, Université Libre de Bruxelles (ULB), Brussels, Belgium

    Leonardo C. T. Bezerra, Manuel López-Ibáñez & Thomas Stützle

Authors
  1. Leonardo C. T. Bezerra
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  2. Manuel López-Ibáñez
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  3. Thomas Stützle
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Corresponding author

Correspondence to Leonardo C. T. Bezerra .

Editor information

Editors and Affiliations

  1. Institute for Polymers and Composites/I3N,University of Minho, Guimaraes, Portugal

    António Gaspar-Cunha

  2. Dept. of Electrical and Computer Engg, University of Coimbra, Coimbra, Portugal

    Carlos Henggeler Antunes

  3. CINVESTAV-IPN Depto. de Computacíon, Col. San Pedro Zacatenco, México DF, Mexico

    Carlos Coello Coello

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Bezerra, L.C.T., López-Ibáñez, M., Stützle, T. (2015). To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective. In: Gaspar-Cunha, A., Henggeler Antunes, C., Coello, C. (eds) Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science(), vol 9018. Springer, Cham. https://doi.org/10.1007/978-3-319-15934-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-15934-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15933-1

  • Online ISBN: 978-3-319-15934-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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