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
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Two-variable non-parametric tests; Evolutionary algorithms
• Online Access: https://hdl.handle.net/10356/174585
• Institution: Nanyang Technological University

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...