A Survey of Decomposition Methods for Multi-objective Optimization
By Alejandro Santiago, H. J. F. Huacuja, Bernabé Dorronsoro, Johnatan E. Pecero, Claudia Guadalupe Gómez Santillán, Juan Javier González Barbosa, José Carlos Soto Monterrubio. 2014
51 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability
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Citations in the corpus
- Pymoo: Multi-Objective Optimization in Python (2020, background): “Decomposition Decomposition transformsmulti-objective problems into many single-objective optimization problems [42].”
- Many-Objective Evolutionary Algorithms (2015, background): “…of recent studies focus on certain subareas of multiobjective optimization: multiobjective algorithms for data mining [Mukhopadhyay et al. 2014a, 2014b] and decomposition-based multiobjective algorithms [Santiago et al. 2014], whereas some are more closely related to many-objective optimization.”