Self Organizing Maps (SOM) for Design Selection in Multi-Objective Optimization using modeFRONTIER

2008 ◽  
Author(s):  
Sumeet Parashar ◽  
Nader Fateh ◽  
Valentino Pediroda ◽  
Carlo Poloni
Keyword(s):  
Multi Objective Optimization ◽  
Self Organizing Maps ◽  
Multi Objective ◽  
Design Selection ◽  
Self Organizing

Multi-objective Optimization of a Line-start Synchronous Machine Using a Self-organizing Algorithm

2021 ◽  
pp. 1-1
Author(s):  
Ladislav Knebl ◽  
Jan Barta ◽  
Gerd Bramerdorfer ◽  
Ondrej Vitek ◽  
Cestmir Ondrusek
Keyword(s):  
Synchronous Machine ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Self Organizing

scholarly journals Self-organizing maps for multi-objective pareto frontiers

2013 ◽  
Author(s):  
Shahar Chen ◽  
David Amid ◽  
Ofer M. Shir ◽  
Lior Limonad ◽  
David Boaz ◽  
...  
Keyword(s):  
Self Organizing Maps ◽  
Multi Objective ◽  
Pareto Frontiers ◽  
Self Organizing

Solving Heterogeneous Big Data Mining Problems Using Multi-Objective Optimization

2019 ◽  
Vol 10 (4) ◽  
pp. 18-37
Author(s):  
Farid Bourennani
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Research Area ◽  
Algebraic Model ◽  
Heterogeneous Data ◽  
Multi Objective Optimization ◽  
Data Types ◽  
Self Organizing Maps ◽  
Multi Objective ◽  
New Research

Nowadays, we have access to unprecedented quantities of data composed of heterogeneous data types (HDT). Heterogeneous data mining (HDM) is a new research area that focuses on the processing of HDT. Usually, input data is transformed into an algebraic model before data processing. However, how to combine the representations of HDT into a single model for a unified processing of big data is an open question. In this article, the authors attempt to find answers to this question by solving a data integration (DI) problem which involves the processing of seven HDT. They propose to solve the DI problem by combining multi-objective optimization and self-organizing maps to find optimal parameters settings for most accurate HDM results. The preliminary results are promising, and a post processing algorithm is proposed which makes the DI operations much simpler and more accurate.

Sign in / Sign up

Export Citation Format

Share Document