Ten New Benchmarks for Optimization
arXiv:2309.00644 · doi:10.1007/978-981-99-3970-1_2
Abstract
Benchmarks are used for testing new optimization algorithms and their variants to evaluate their performance. Most existing benchmarks are smooth functions. This chapter introduces ten new benchmarks with different properties, including noise, discontinuity, parameter estimation and unknown paths.
arXiv comment11 pages, 6 figures