The differential evolution algorithm is an evolutionary for global optimization and the un-capacitated facility location problem (UFL) one of classic NP-Hard problems. In this paper, combined with specific characteristics UFL problem, we introduce activation function to solving name it improved adaptive (IADEA). Next, improve efficiency alleviate being stuck in a local optimum, operator was add...

The main objective of this research is to automatically design Artificial Neural Network models with sigmoid basis units for multiclassification tasks in predictive microbiology. The classifiers obtained achieve a double objective: a high classification level in the dataset and high classification levels for each class. The Memetic Pareto Differential Evolution Neural Network chosen to learn th...

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...