---
_id: '54548'
author:
- first_name: Raphael Patrick
  full_name: Prager, Raphael Patrick
  last_name: Prager
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: Prager RP, Trautmann H. Exploratory Landscape Analysis for Mixed-Variable Problems.
    <i>IEEE Transactions on Evolutionary Computation</i>. Published online 2024:1-1.
    doi:<a href="https://doi.org/10.1109/TEVC.2024.3399560">10.1109/TEVC.2024.3399560</a>
  apa: Prager, R. P., &#38; Trautmann, H. (2024). Exploratory Landscape Analysis for
    Mixed-Variable Problems. <i>IEEE Transactions on Evolutionary Computation</i>,
    1–1. <a href="https://doi.org/10.1109/TEVC.2024.3399560">https://doi.org/10.1109/TEVC.2024.3399560</a>
  bibtex: '@article{Prager_Trautmann_2024, title={Exploratory Landscape Analysis for
    Mixed-Variable Problems}, DOI={<a href="https://doi.org/10.1109/TEVC.2024.3399560">10.1109/TEVC.2024.3399560</a>},
    journal={IEEE Transactions on Evolutionary Computation}, author={Prager, Raphael
    Patrick and Trautmann, Heike}, year={2024}, pages={1–1} }'
  chicago: Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis
    for Mixed-Variable Problems.” <i>IEEE Transactions on Evolutionary Computation</i>,
    2024, 1–1. <a href="https://doi.org/10.1109/TEVC.2024.3399560">https://doi.org/10.1109/TEVC.2024.3399560</a>.
  ieee: 'R. P. Prager and H. Trautmann, “Exploratory Landscape Analysis for Mixed-Variable
    Problems,” <i>IEEE Transactions on Evolutionary Computation</i>, pp. 1–1, 2024,
    doi: <a href="https://doi.org/10.1109/TEVC.2024.3399560">10.1109/TEVC.2024.3399560</a>.'
  mla: Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis
    for Mixed-Variable Problems.” <i>IEEE Transactions on Evolutionary Computation</i>,
    2024, pp. 1–1, doi:<a href="https://doi.org/10.1109/TEVC.2024.3399560">10.1109/TEVC.2024.3399560</a>.
  short: R.P. Prager, H. Trautmann, IEEE Transactions on Evolutionary Computation
    (2024) 1–1.
date_created: 2024-06-03T06:16:33Z
date_updated: 2024-06-03T06:17:13Z
department:
- _id: '819'
doi: 10.1109/TEVC.2024.3399560
keyword:
- Optimization
- Evolutionary computation
- Benchmark testing
- Hyperparameter optimization
- Portfolios
- Extraterrestrial measurements
- Dispersion
- Exploratory landscape analysis
- mixed-variable problem
- mixed search spaces
- automated algorithm selection
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: Exploratory Landscape Analysis for Mixed-Variable Problems
type: journal_article
user_id: '15504'
year: '2024'
...
---
_id: '56221'
author:
- first_name: Angel E.
  full_name: Rodriguez-Fernandez, Angel E.
  last_name: Rodriguez-Fernandez
- first_name: Lennart
  full_name: Schäpermeier, Lennart
  last_name: Schäpermeier
- first_name: Carlos
  full_name: Hernández, Carlos
  last_name: Hernández
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
- first_name: Oliver
  full_name: Schütze, Oliver
  last_name: Schütze
citation:
  ama: Rodriguez-Fernandez AE, Schäpermeier L, Hernández C, Kerschke P, Trautmann
    H, Schütze O. Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal
    Optimization. <i>IEEE Transactions on Evolutionary Computation</i>. Published
    online 2024:1-1. doi:<a href="https://doi.org/10.1109/TEVC.2024.3458855">10.1109/TEVC.2024.3458855</a>
  apa: Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P.,
    Trautmann, H., &#38; Schütze, O. (2024). Finding ϵ-Locally Optimal Solutions for
    Multi-Objective Multimodal Optimization. <i>IEEE Transactions on Evolutionary
    Computation</i>, 1–1. <a href="https://doi.org/10.1109/TEVC.2024.3458855">https://doi.org/10.1109/TEVC.2024.3458855</a>
  bibtex: '@article{Rodriguez-Fernandez_Schäpermeier_Hernández_Kerschke_Trautmann_Schütze_2024,
    title={Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization},
    DOI={<a href="https://doi.org/10.1109/TEVC.2024.3458855">10.1109/TEVC.2024.3458855</a>},
    journal={IEEE Transactions on Evolutionary Computation}, author={Rodriguez-Fernandez,
    Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal
    and Trautmann, Heike and Schütze, Oliver}, year={2024}, pages={1–1} }'
  chicago: Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernández,
    Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Finding ϵ-Locally Optimal
    Solutions for Multi-Objective Multimodal Optimization.” <i>IEEE Transactions on
    Evolutionary Computation</i>, 2024, 1–1. <a href="https://doi.org/10.1109/TEVC.2024.3458855">https://doi.org/10.1109/TEVC.2024.3458855</a>.
  ieee: 'A. E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H.
    Trautmann, and O. Schütze, “Finding ϵ-Locally Optimal Solutions for Multi-Objective
    Multimodal Optimization,” <i>IEEE Transactions on Evolutionary Computation</i>,
    pp. 1–1, 2024, doi: <a href="https://doi.org/10.1109/TEVC.2024.3458855">10.1109/TEVC.2024.3458855</a>.'
  mla: Rodriguez-Fernandez, Angel E., et al. “Finding ϵ-Locally Optimal Solutions
    for Multi-Objective Multimodal Optimization.” <i>IEEE Transactions on Evolutionary
    Computation</i>, 2024, pp. 1–1, doi:<a href="https://doi.org/10.1109/TEVC.2024.3458855">10.1109/TEVC.2024.3458855</a>.
  short: A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H.
    Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.
date_created: 2024-09-24T08:01:14Z
date_updated: 2024-09-24T08:01:47Z
doi: 10.1109/TEVC.2024.3458855
keyword:
- Optimization
- Evolutionary computation
- Approximation algorithms
- Benchmark testing
- Vectors
- Surveys
- Pareto optimization
- multi-objective optimization
- evolutionary computation
- multimodal optimization
- local solutions
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
type: journal_article
user_id: '15504'
year: '2024'
...