Benchmark Examples

Benchmark Examples

These tutorials demonstrate how to recreate results from various papers and common studies using BoFire’s benchmarking capabilities. Benchmarks are useful for validating optimization strategies and comparing performance across different approaches.

Available Benchmarks

001 - Himmelblau Function

Classic optimization benchmark using the Himmelblau function.

002 - DTLZ2

Multi-objective optimization using the DTLZ2 test problem.

003 - Hartmann with N-Choose-K

Hartmann function optimization with n-choose-k constraints.

004 - 30-Dimensional Branin

High-dimensional optimization using an extended Branin function.

005 - Himmelblau with Outliers

Robust optimization in the presence of outliers.

006 - Bayesian Optimization over Molecules

Molecular optimization using chemical fingerprints and specialized kernels.

007 - LSRBO

Local search-based Bayesian optimization.

008 - ZDT1

Multi-objective optimization using the ZDT1 test problem.

009 - BNH

Binh and Korn multi-objective test function.

010 - TNK

Tanaka multi-objective test function.

011 - Active Learning

Active learning strategies for experimental design.

012 - Active Learning

Active learning strategies for experimental design.