Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/21862
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dc.contributor.authorSinha, Ankur
dc.contributor.authorMalo, Pekka
dc.contributor.authorDeb, Kalyanmoy
dc.date.accessioned2019-05-15T22:40:54Z
dc.date.available2019-05-15T22:40:54Z
dc.date.issued2018
dc.identifier.citationSinha, 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.2017.2712906en_US
dc.identifier.urihttp://hdl.handle.net/11718/21862
dc.description.abstractBilevel 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. ,en_US
dc.publisherIEEEen_US
dc.subjectBilevel optimizationen_US
dc.subjectEvolutionary algorithmsen_US
dc.subjectStackelberg gamesen_US
dc.titleA review on bilevel optimization: from classical to evolutionary approaches and applicationsen_US
dc.title.alternativeIEEE Computational Intelligence Societyen_US
dc.typeArticleen_US
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