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 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
IEEE
01.04.2018
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| Subjects: | |
| ISSN: | 1089-778X, 1941-0026 |
| Online Access: | Get full text |
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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. |
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| 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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| CODEN | ITEVF5 |
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| 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 |
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