학술논문
Optimización de enjambre de partículas para problemas de muchos objetivos
Document Type
Conference
Author
Source
2015 Latin American Computing Conference (CLEI) Computing Conference (CLEI), 2015 Latin American. :1-11 Oct, 2015
Subject
Language
Abstract
The difficulty to solve problems with many, possibly conflicting, objectives logically increases with the number of objectives, what makes them difficult to solve using multi-objective algorithms like the well known NSGA-II. Therefore, this work proposes the use of a particle swarm optimization (PSO) algorithm to solve many-objective problems. The main premise of this work is that MOPSO may be a good option for solving many-objective problems, presenting experimental evidence that supports this premise using the well known DTLZ benchmark with different performance metrics such as hypervolume, coverage and generational distance, among others.