Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
A large number of real-world problems require optimising several objective functions at the same time, which are generally in conflict. Many of these problems have been addressed through multi-objective evolutionary algorithms. In this paper, we propose a new hybrid evolutionary algorithm whose ma...
محفوظ في:
مؤلفون آخرون: | Cruz-Reyes, Laura, Sánchez Solís, Julia Patricia, Fernandez, Eduardo, Coello Coello, Carlos A., Gomez, Claudia |
---|---|
التنسيق: | Artículo |
اللغة: | English |
منشور في: |
2020
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://doi.org/10.1016/j.swevo.2020.100652 https://www.sciencedirect.com/science/article/abs/pii/S2210650219304274 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation
بواسطة: Rivera Zarate, Gilberto
منشور في: (2022) -
An interactive ACO enriched with an eclectic multi-criteria ordinal classifier to address many-objective optimisation problems
بواسطة: Rivera Zarate, Gilberto
منشور في: (2023) -
Outranking-based multi-objective PSO for scheduling unrelated parallel
machines with a freight industry-oriented application
بواسطة: Rivera Zarate, Gilberto
منشور في: (2021) -
Inferring Parameters of a Relational System of Preferences from Assignment Examples using an Evolutionary Algorithm
بواسطة: Fernández, Eduardo
منشور في: (2019) -
Online multi-criteria portfolio analysis through compromise programming models built on the underlying principles of fuzzy outranking
بواسطة: Rivera Zarate, Gilberto
منشور في: (2021)