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- W1569678866 abstract "Reliable comparison of optimization algorithms requires the use of specialized benchmarking procedures. This paper highlights motivations which influence their structure, discusses evaluation criteria of algorithms, typical ways of presenting and interpreting results as well as related statistical procedures. Discussions are based on examples from CEC and BBOB benchmarks. Moreover, attention is drawn to these features of comparison procedures, which make them susceptible to manipulation. In particular, novel application of the weak axiom of revealed preferences to the field of benchmarking shows why it may be misleading to assess algorithms on basis of their ranks for each of test problems. Additionally, an idea is presented of developing massively parallel implementation of benchmarks. Not only would this provide faster computation but also open the door to improving reliability of benchmarking procedures and promoting research into parallel implementations of optimization algorithms. Keywords—black-box optimization, comparing optimization algorithms, evaluation criteria, parallel computing." @default.
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- W1569678866 date "2011-01-01" @default.
- W1569678866 modified "2023-09-23" @default.
- W1569678866 title "Benchmarking Procedures for Continuous Optimization Algorithms" @default.
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