Cargando…
A Reference Point-Based Evolutionary Algorithm Solves Multi and Many-Objective Optimization Problems: Method and Validation
The integration of a decision maker's preferences in evolutionary multi-objective optimization (EMO) has been a common research scope over the last decade. In the published literature, several preference-based evolutionary approaches have been proposed. The reference point-based non-dominated s...
Autores principales: | Jameel, Mohammed, Abouhawwash, Mohamed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164242/ https://www.ncbi.nlm.nih.gov/pubmed/37163175 http://dx.doi.org/10.1155/2023/4387053 |
Ejemplares similares
-
Solving multi-objective optimization problems in conservation with the reference point method
por: Dujardin, Yann, et al.
Publicado: (2018) -
A new optimization algorithm to solve multi-objective problems
por: Sharifi, Mohammad Reza, et al.
Publicado: (2021) -
A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems
por: Yang, Yufei, et al.
Publicado: (2023) -
MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems
por: Khalid, Asmaa M., et al.
Publicado: (2023) -
Hybrid selection based multi/many-objective evolutionary algorithm
por: Dutta, Saykat, et al.
Publicado: (2022)