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Title: | A review on bilevel optimization: from classical to evolutionary approaches and applications |
Other Titles: | IEEE Computational Intelligence Society |
Authors: | Sinha, Ankur Malo, Pekka Deb, Kalyanmoy |
Keywords: | Bilevel optimization;Evolutionary algorithms;Stackelberg games |
Issue Date: | 2018 |
Publisher: | IEEE |
Citation: | Sinha, A., Malo, P. & Deb, K. (2017). A review on bilevel optimization: from classical to evolutionary approaches and applications. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 22(2), 276 - 295. doi: https://doi.org/10.1109/TEVC.2017.2712906 |
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. , |
URI: | http://hdl.handle.net/11718/21862 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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A Review on Bilevel Optimization_2018.pdf Restricted Access | A Review on Bilevel Optimization_2018 | 2.33 MB | Adobe PDF | View/Open Request a copy |
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