Genetic Algorithm (GA) and Differential Evolution (DE) implementations for constrained optimization. Customizable configuration using configparser. Statistical Analysis using rank-sum tests from SciPy ...

Differential Evolution (DE) is a straightforward yet powerful method for numerical optimization. The performance of the DE algorithm is greatly affected by its parameter configuration, as a result, a ...

For the shortcomings of the basic flower pollination algorithm, this paper proposes a differential evolution flower pollination algorithm with dynamic switch probability based on the Weibull ...