Test functions for optimization are mathematical functions specifically designed to evaluate and benchmark optimization algorithms and techniques. These functions generally have well-defined characteristics, allowing researchers and practitioners to assess the performance of optimization methods in terms of convergence speed, accuracy, robustness, and ability to handle local minima or maxima.

Articles by others on the same topic (0)

There are currently no matching articles.