Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization

Carlos Segura (), Carlos A. Coello Coello (), Gara Miranda () and Coromoto León ()
Additional contact information
Carlos Segura: Área de Computación
Carlos A. Coello Coello: CINVESTAV-IPN
Gara Miranda: Universidad de La Laguna
Coromoto León: Universidad de La Laguna

Annals of Operations Research, 2016, vol. 240, issue 1, No 9, 217-250

Abstract: 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.

Keywords: Single-objective optimization; Multi-objective optimization; Constrained optimization; Multiobjectivization; Diversity preservation (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-015-2017-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:240:y:2016:i:1:d:10.1007_s10479-015-2017-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-015-2017-z

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().