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

May 17, 2017 Β· Declared Dead Β· πŸ› IEEE Transactions on Evolutionary Computation

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Authors Ankur Sinha, Pekka Malo, Kalyanmoy Deb arXiv ID 1705.06270 Category math.OC: Optimization & Control Cross-listed cs.NE Citations 840 Venue IEEE Transactions on Evolutionary Computation Last Checked 1 month ago
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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