Inverse Combinatorial Optimization: A Survey on Problems, Methods, and Results

By C. Heuberger. Journal of combinatorial optimization, 2004

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Designing effective and efficient incentive policies for renewable energy in generation expansion planning (2011, background): “Inverse optimization [27, 28, 30, 35, 37] is a branch of bilevel optimization that deals with finding a minimal perturbation of the objective function of an optimization problem in order to make a target solution”
From human to humanoid locomotion—an inverse optimal control approach (2010, background): “Heuberger provides a detailed overview of inverse optimization in combinatorial problems (Heuberger 2004) describing solutions only for linear and network problems.”
Learning structured prediction models: a large margin approach (2005, methodology): “Beyond the closely related large-margin methods for probabilistic models, our max-margin formulation has ties to a body of work called inverse combinatorial and convex optimization (for a recent survey , see Heuberger (2004)).”