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...
Spremljeno u:
Glavni autor: | Fernández, Eduardo |
---|---|
Daljnji autori: | Sanchez Solis, Julia Patricia, Rivera Zarate, Gilberto |
Format: | Artículo |
Jezik: | en_US |
Izdano: |
2019
|
Teme: | |
Online pristup: | https://doi.org/10.3846/tede.2019.9475 https://journals.vgtu.lt/index.php/TEDE/article/view/9475 |
Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|
Similar Items
-
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
Izdano: (2020) -
Robustness analysis of an outranking model parameters’ elicitation method in the presence of noisy examples
od: Rangel Valdes, Nelson
Izdano: (2018) -
Interdependent Projects Selection with Preference Incorporation
od: Gómez, Claudia
Izdano: (2018) -
Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking
od: Rivera Zarate, Gilberto
Izdano: (2021) -
PSO, a Swarm Intelligence-Based Evolutionary Algorithm as a Decision-Making Strategy: A Review
Izdano: (2022)