EF1-NSGA-III: An evolutionary algorithm based on the first front to obtain non-negative and non-repeated extreme points

EF1-NSGA-III: An evolutionary algorithm based on the first front to obtain non-negative and non-repeated extreme points

Multi-Objective and Many-objective Optimization problems have been extensively solved through evolutionary algorithms over a few decades. Despite the fact that NSGA-II and NSGA-III are frequently employed as a reference for a comparative evaluation of new evolutionary algorithms, the latter is propr...

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Bibliographic Details
Main Authors: Luis Felipe Ariza Vesga, Johan Sebastián Eslava Garzón, Rafael Puerta Ramirez
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2020-10-01
Series:Ingeniería e Investigación
Subjects:
evolutionary algorithm
manyobjective optimization problem
Online Access:https://revistas.unal.edu.co/index.php/ingeinv/article/view/82906

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