Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives

2013 ◽  
Vol 26 (8) ◽  
pp. 1781-1794 ◽  
Author(s):  
Alexandru-Ciprian Zăvoianu ◽  
Gerd Bramerdorfer ◽  
Edwin Lughofer ◽  
Siegfried Silber ◽  
Wolfgang Amrhein ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Evolutionary Algorithms ◽  
Multi Objective ◽  
Electrical Drives ◽  
Artificial Neural

Multi-Objective Optimization of Parameters for Milling Using Evolutionary Algorithms and Artificial Neural Networks

2019 ◽  
Author(s):  
Amit Banerjee ◽  
Issam Abu-Mahfouz ◽  
AHM Esfakur Rahman
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Evolutionary Algorithms ◽  
Cost Function ◽  
Machine Learning Algorithms ◽  
Machining Parameters ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Artificial Neural

Abstract Model-based design of manufacturing processes have been gaining popularity since the advent of machine learning algorithms such as evolutionary algorithms and artificial neural networks (ANN). The problem of selecting the best machining parameters can be cast an optimization problem given a cost function and by utilizing an input-output connectionist framework using as ANNs. In this paper, we present a comparison of various evolutionary algorithms for parameter optimization of an end-milling operation based on a well-known cost function from literature. We propose a modification to the cost function for milling and include an additional objective of minimizing surface roughness and by using NSGA-II, a multi-objective optimization algorithm. We also present comparison of several population-based evolutionary search algorithms such as variants of particle swarm optimization, differential evolution and NSGA-II.

Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks

2013 ◽  
Vol 58 (1) ◽  
pp. 37-49 ◽  
Author(s):  
Manuel Cruz-Ramírez ◽  
César Hervás-Martínez ◽  
Juan Carlos Fernández ◽  
Javier Briceño ◽  
Manuel de la Mata
Keyword(s):  
Neural Networks ◽  
Liver Transplantation ◽  
Artificial Neural Networks ◽  
Patient Survival ◽  
Multi Objective ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document