Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization
Author:
Affiliation:
1. Faculty of Environment and Information Sciences, Yokohama National University, Yokohama, Japan
Funder
Leading Initiative for Excellent Young Researchers, MEXT, Japan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Theoretical Computer Science,Software
Link
http://xplorestaging.ieee.org/ielx7/4235/9967387/09762332.pdf?arnumber=9762332
Reference62 articles.
1. The dispersion metric and the CMA evolution strategy
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4. Experimental Comparisons of Derivative Free Optimization Algorithms
5. ASlib: A benchmark library for algorithm selection
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