Limitations of benchmark sets and landscape features for algorithm selection and performance prediction-Reference-Cited by-同舟云学术

Limitations of benchmark sets and landscape features for algorithm selection and performance prediction

Published:2019-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Lacroix Benjamin¹,McCall John¹

Affiliation:

1. Robert Gordon University, Aberdeen, Scotland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3319619.3322051

Reference7 articles.

1. Feature Based Algorithm Configuration: A Case Study with Differential Evolution

2. Investigating benchmark correlations when comparing algorithms with parameter tuning

3. Pascal Kerschke. 2017. Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco. (2017). Pascal Kerschke. 2017. Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco. (2017).

4. Interpolated continuous optimisation problems with tunable landscape features

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