flacco
R package flacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems. Contains tools and features, which can be used for an Exploratory Landscape Analysis (ELA) of single-objective continuous optimization problems. Those features are able to quantify rather complex properties, such as the global structure, separability, etc., of the optimization problems.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
Sorted by year (- Cosson, Raphaël; Derbel, Bilel; Liefooghe, Arnaud; Aguirre, Hernán; Tanaka, Kiyoshi; Zhang, Qingfu: Decomposition-based multi-objective landscape features and automated algorithm selection (2021)
- Grimme, Christian; Kerschke, Pascal; Aspar, Pelin; Trautmann, Heike; Preuss, Mike; Deutz, André H.; Wang, Hao; Emmerich, Michael: Peeking beyond peaks: challenges and research potentials of continuous multimodal multi-objective optimization (2021)
- Hao Wang, Diederick Vermetten, Carola Doerr, Thomas Bäck: IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic (2020) arXiv
- Pascal Kerschke: Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco (2017) arXiv