Fuzzy Neural Network Optimization by a Multi-Objective Differential Evolution Algorithm

2009 ◽  
pp. 38-43 ◽  
Author(s):  
Ming Ma ◽  
Li-biao Zhang ◽  
Xiang-li Xu
Keyword(s):  
Neural Network ◽  
Differential Evolution ◽  
Network Optimization ◽  
Fuzzy Neural Network ◽  
Differential Evolution Algorithm ◽  
Neural Network Optimization ◽  
Multi Objective ◽  
Fuzzy Neural ◽  
Evolution Algorithm

Embedded Differential Evolution Algorithm for Recurrent Fuzzy Neural Network Controller Optimization

2013 ◽  
Vol 321-324 ◽  
pp. 2141-2145
Author(s):  
Xiao Sheng Wang ◽  
Ying Li ◽  
Yan Hui Guo
Keyword(s):  
Neural Network ◽  
Differential Evolution ◽  
Fuzzy Neural Network ◽  
Differential Evolution Algorithm ◽  
Experimental Simulation ◽  
Neural Network Controller ◽  
Fuzzy Neural ◽  
Embedded Controller ◽  
Evolution Algorithm ◽  
Recurrent Fuzzy Neural Network

A chaos concise differential evolution algorithm (CcDE) is proposed for the embedded controller with limited memory, which introduces chaotic local search based on basic differential evolution algorithm to increase exploring and prevent premature convergence. Using virtual population and Gaussian sampling, the CcDE becomes simple and reduces the memory requirements at run time. Experimental simulation on optimizing parameters of the recurrent fuzzy neural network shows that the proposed CcDE can obtain better performance than other concise algorithm.

Distance-based immune generalised differential evolution algorithm for dynamic multi-objective optimisation

2021 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
María Guadalupe Martínez Peñaloza ◽  
Efrén Mezura Montes ◽  
Alicia Morales Reyes ◽  
Hernán E. Aguirre
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Multi Objective ◽  
Evolution Algorithm
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