Inferring Parameters of a Relational System of Preferences from Assignment Examples using an Evolutionary Algorithm
Most evolutionary multi-objective algorithms perform poorly in many-objective problems. They normally do not make selective pressure towards the Region of Interest (RoI), the privileged zone in the Pareto frontier that contains solutions important to a DM. Several works have proved that a priori inc...
Saved in:
Hovedforfatter: | Fernández, Eduardo |
---|---|
Andre forfattere: | Sanchez Solis, Julia Patricia, Rivera Zarate, Gilberto |
Format: | Artículo |
Sprog: | en_US |
Udgivet: |
2019
|
Fag: | |
Online adgang: | https://doi.org/10.3846/tede.2019.9475 https://journals.vgtu.lt/index.php/TEDE/article/view/9475 |
Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
Lignende værker
-
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
Udgivet: (2020) -
Robustness analysis of an outranking model parameters’ elicitation method in the presence of noisy examples
af: Rangel Valdes, Nelson
Udgivet: (2018) -
Interdependent Projects Selection with Preference Incorporation
af: Gómez, Claudia
Udgivet: (2018) -
Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking
af: Rivera Zarate, Gilberto
Udgivet: (2021) -
PSO, a Swarm Intelligence-Based Evolutionary Algorithm as a Decision-Making Strategy: A Review
Udgivet: (2022)