On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems-Reference-Cited by-同舟云学术

On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Rook Jeroen¹^ORCID,Trautmann Heike²^ORCID,Bossek Jakob³^ORCID,Grimme Christian³^ORCID

Affiliation:

1. University of Twente, The Netherlands

2. Univ. of Münster, Germany and University of Twente, The Netherlands

3. University of Münster, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3528998

Reference25 articles.

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3. Jakob Bossek and Kalyanmoy Deb. 2021. omnioptr: Omni-Optimizer. https://github.com/jakobbossek/omnioptr R package version 1.0.0. Jakob Bossek and Kalyanmoy Deb. 2021. omnioptr : Omni-Optimizer. https://github.com/jakobbossek/omnioptr R package version 1.0.0.

4. The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition

5. Carlos Artemio Coello Coello , David A. van Veldhuizen , and Gary B . Lamont . 2007 . Evolutionary Algorithms for Solving Multi-Objective Problems (2nd ed.). Springer . Carlos Artemio Coello Coello, David A. van Veldhuizen, and Gary B. Lamont. 2007. Evolutionary Algorithms for Solving Multi-Objective Problems (2nd ed.). Springer.

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