A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications

Ankur Sinha, Pekka Malo, Kalyanmoy Deb

Tutkimustuotos: LehtiartikkeliReview ArticleScientificvertaisarvioitu

240 Sitaatiot (Scopus)

Abstrakti

Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as a constraint. These problems have received significant attention from the mathematical programming community. Only limited work exists on bilevel problems using evolutionary computation techniques; however, recently there has been an increasing interest due to the proliferation of practical applications and the potential of evolutionary algorithms in tackling these problems. This paper provides a comprehensive review on bilevel optimization from the basic principles to solution strategies; both classical and evolutionary. A number of potential application problems are also discussed. To offer the readers insights on the prominent developments in the field of bilevel optimization, we have performed an automated textanalysis of an extended list of papers published on bilevel optimization to date. This paper should motivate evolutionary computation researchers to pay more attention to this practical yet challenging area.
AlkuperäiskieliEnglanti
Sivut276-295
Sivumäärä20
JulkaisuIEEE Transactions on Evolutionary Computation
Vuosikerta22
Numero2
Varhainen verkossa julkaisun päivämäärä2017
DOI - pysyväislinkit
TilaJulkaistu - huhtikuuta 2018
OKM-julkaisutyyppiA2 Arvio tiedejulkaisuussa (artikkeli)

Sormenjälki

Sukella tutkimusaiheisiin 'A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä