Benchmark Functions

Benchmark functions are standardized mathematical tests used to evaluate and compare the performance of optimization algorithms. They serve as benchmarks by providing diverse, well-studied problem landscapes with known solutions or characteristics. These functions help researchers understand how effectively an algorithm can find optimal or near-optimal solutions across different types of challenges, such as complex, multi-modal, or high-dimensional spaces. By testing algorithms on benchmark functions, scientists can assess accuracy, efficiency, and robustness, guiding improvements and ensuring that methods are reliable for real-world optimization problems.