Differential Evolution Optimal Parameters Tuning with Artificial Neural Network

Differential Evolution Optimal Parameters Tuning with Artificial Neural Network

Differential evolution (DE) is a simple and efficient population-based stochastic algorithm for solving global numerical optimization problems. DE largely depends on algorithm parameter values and search strategy. Knowledge on how to tune the best values of these parameters is scarce. This paper aim...

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Bibliographic Details
Main Authors: Manu Centeno-Telleria, Ekaitz Zulueta, Unai Fernandez-Gamiz, Daniel Teso-Fz-Betoño, Adrián Teso-Fz-Betoño
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematics
Subjects:
evolutionary algorithm
differential evolution
parameter tuning
artificial neural network
Online Access:https://www.mdpi.com/2227-7390/9/4/427

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https://www.mdpi.com/2227-7390/9/4/427

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