Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests

• Main Authors: Price, Kenneth V., Kumar, Abhishek, Suganthan, Ponnuthurai Nagaratnam
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Engineering; Two-variable non-parametric tests; Evolutionary algorithms
• 在線閱讀: https://hdl.handle.net/10356/174585

Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal—like the final fitness values of multiple trials—but for many benchmarks, a trial can also terminate once it reaches a prespecified target value. In such cases, both the time...