Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
The Greed and Regret problem is a simple model with applications in areas such as studies of crime, ultimatums, bidding, setting service levels and sales force compensation. In general, the Greed and Regret problem is not concave, and may admit several local optima. Nevertheless, the optimal solution exhibits some intuitive monotonicity properties with respect to the problem parameters. We identify a sufficient condition for uniqueness of the optimal solution, which is a generalization of the Increasing Generalized Failure Rate property developed by Lariviere and Porteus (2001). © 2009 Elsevier B.V. All rights reserved.
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
Sai Zeng, Angran Xiao, et al.
CAD Computer Aided Design
David A. Selby
IBM J. Res. Dev
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EJOR