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Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization.
- Source :
-
Annals of Operations Research . May2016, Vol. 240 Issue 1, p217-250. 34p. - Publication Year :
- 2016
-
Abstract
- In recent decades, several multi-objective evolutionary algorithms have been successfully applied to a wide variety of multi-objective optimization problems. Along the way, several new concepts, paradigms and methods have emerged. Additionally, some authors have claimed that the application of multi-objective approaches might be useful even in single-objective optimization. Thus, several guidelines for solving single-objective optimization problems using multi-objective methods have been proposed. This paper offers an updated survey of the main methods that allow the use of multi-objective schemes for single-objective optimization. In addition, several open topics and some possible paths of future work in this area are identified. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02545330
- Volume :
- 240
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Annals of Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 115349303
- Full Text :
- https://doi.org/10.1007/s10479-015-2017-z