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

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 evolution...

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Published in:IEEE transactions on evolutionary computation Vol. 22; no. 2; pp. 276 - 295
Main Authors: Sinha, Ankur, Malo, Pekka, Deb, Kalyanmoy
Format: Journal Article
Language:English
Published: IEEE 01.04.2018
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ISSN:1089-778X, 1941-0026
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Abstract 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 text-analysis 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.
AbstractList 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 text-analysis 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.
Author Malo, Pekka
Sinha, Ankur
Deb, Kalyanmoy
Author_xml – sequence: 1
  givenname: Ankur
  surname: Sinha
  fullname: Sinha, Ankur
  email: asinha@iimahd.ernet.in
  organization: Department of Production and Quantitative Methods, Indian Institute of Management Ahmedabad, Ahmedabad, India
– sequence: 2
  givenname: Pekka
  surname: Malo
  fullname: Malo, Pekka
  email: pekka.malo@aalto.fi
  organization: Department of Information and Service Economy, Aalto University School of Business, Aalto, Finland
– sequence: 3
  givenname: Kalyanmoy
  orcidid: 0000-0001-7402-9939
  surname: Deb
  fullname: Deb, Kalyanmoy
  email: kdeb@egr.msu.edu
  organization: Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA
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Snippet Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as a constraint. These problems...
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StartPage 276
SubjectTerms Bilevel optimization
Decision making
evolutionary algorithms
Evolutionary computation
Fertilizers
Linear programming
Mathematical programming
Programming
Stackelberg games
Title A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
URI https://ieeexplore.ieee.org/document/7942105
Volume 22
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