Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes

(2017) Fabio Daolio et al.   EVOLUTIONARY COMPUTATION

ASlib: A benchmark library for algorithm selection

(2016) Bernd Bischl et al.   ARTIFICIAL INTELLIGENCE

Bag of local landscape features for fitness landscape analysis

(2016) Shinichi Shirakawa et al.   SOFT COMPUTING

Analyzing the BBOB Results by Means of Benchmarking Concepts

(2015) O. Mersmann et al.   EVOLUTIONARY COMPUTATION

Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content

(2015) Mario A. Munoz et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

(2015) Mario A. Muñoz et al.   INFORMATION SCIENCES

A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem

(2013) Olaf Mersmann et al.   ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

Algorithm runtime prediction: Methods & evaluation

(2013) Frank Hutter et al.   ARTIFICIAL INTELLIGENCE