Visual approaches for exploratory data analysis: A survey of the visual assessment of clustering tendency (vat) family of algorithms
Exploratory data analysis (EDA) using data clustering is extremely important for
understanding the basic characteristics of a novel data set before developing complex …
understanding the basic characteristics of a novel data set before developing complex …
A framework for inverse surrogate modeling for fitness estimation applied to multi-objective evolutionary algorithms
Abstract Many-Objective Optimization Problems, or MaOPs, are complex optimization
problems with more than three objective functions. Traditional Multi-Objective Evolutionary …
problems with more than three objective functions. Traditional Multi-Objective Evolutionary …
Pareto optimization with small data by learning across common objective spaces
In multi-objective optimization, it becomes prohibitively difficult to cover the Pareto front (PF)
as the number of points scales exponentially with the dimensionality of the objective space …
as the number of points scales exponentially with the dimensionality of the objective space …
Learning Decision Variables in Many-Objective Optimization Problems
AL da Costa Oliveira, R Gusmão… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Traditional Multi-Objective Evolutionary Algorithms (MOEAs) have shown poor scalability in
solving Many-Objective Optimization Problems (MaOPs). The use of machine learning …
solving Many-Objective Optimization Problems (MaOPs). The use of machine learning …
Improved sampling of decision space for pareto estimation
Y Yan, I Giagkiozis, PJ Fleming - … of the 2015 Annual Conference on …, 2015 - dl.acm.org
Pareto Estimation (PE) is a novel method for increasing the density of Pareto optimal
solutions across the entire Pareto Front or in a specific region of interest. PE identifies the …
solutions across the entire Pareto Front or in a specific region of interest. PE identifies the …
[PDF][PDF] Visual Approaches for Exploratory Data Analysis
D Kumar, JC Bezdek - academia.edu
VAT family of algorithms). Various members of the VAT family have been applied to many
applications, including image segmentation, urban mobility, transportation, speech …
applications, including image segmentation, urban mobility, transportation, speech …
System Architecture Design Using Multi-Criteria Optimization
R Kudikala - 2015 - etheses.whiterose.ac.uk
System architecture is defined as the description of a complex system in terms of its
functional requirements, physical elements and their interrelationships. Designing a …
functional requirements, physical elements and their interrelationships. Designing a …
Manejo de conocimiento en algoritmos evolutivos multiobjetivo para el diseno optimo de un sistema de engranajes
Este trabajo, estudia los efectos sobre el frente de Pareto generado por el algoritmo NSGA-II
cuando una estrategia de eliminación de soluciones superpuestas de la población es …
cuando una estrategia de eliminación de soluciones superpuestas de la población es …
Manejo de conocimiento en algoritmos evolutivos multiobjetivo para el diseño óptimo de un sistema de engranajes
Este trabajo, estudia los efectos sobre el frente de Pareto generado por el algoritmo NSGA-II
cuando una estrategia de eliminación de soluciones superpuestas de la población es …
cuando una estrategia de eliminación de soluciones superpuestas de la población es …