Built-in Benchmarks

Built-in benchmark experiments provide standard mathematical optimization functions for testing, validating, and comparing optimization algorithms. These carefully chosen benchmarks represent different optimization challenges and are essential for understanding algorithm behavior.

Why Use Benchmarks?

• Algorithm Testing: Validate optimization performance on known problems
• Performance Comparison: Compare different optimizers on standardized tests
• Research Validation: Use established benchmarks for reproducible research
• Learning Tool: Understand optimization concepts with well-documented functions