A biobjective approach to recoverable robustness based on location planning

Emilio Carrizosa, Marc Goerigk and Anita Schöbel

European Journal of Operational Research, 2017, vol. 261, issue 2, 421-435

Abstract: Finding robust solutions of an optimization problem is an important issue in practice, and various concepts on how to define the robustness of a solution have been suggested. The idea of recoverable robustness requires that a solution can be recovered to a feasible one as soon as the realized scenario becomes known. The usual approach in the literature is to minimize the objective function value of the recovered solution in the nominal or in the worst case.

Keywords: Robustness & sensitivity analysis; Robust optimization; Location planning; Biobjective optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:261:y:2017:i:2:p:421-435

DOI: 10.1016/j.ejor.2017.02.014

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