Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets
Author:
Affiliation:
1. Vilnius University, Vilnius, Lithuania
2. Brno University of Technology, Brno, Czech Republic
Funder
Research Council of Lithuania
IGA Brno University of Technology
Czech Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3664072
Reference7 articles.
1. Exposing the grey wolf, moth‐flame, whale, firefly, bat, and antlion algorithms: six misleading optimization techniques inspired bybestialmetaphors
2. Nikolaus Hansen Steffen Finck Raymond Ros and Anne Auger. 2009. Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions. Ph. D. Dissertation. INRIA.
3. A critical problem in benchmarking and analysis of evolutionary computation methods
4. New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern
5. Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets
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