TY - UNPB

T1 - Ranking robustness and its application to evacuation planning

AU - Goerigk, Marc

AU - Hamacher, Horst W.

AU - Kinscherff, Anika

PY - 2016

Y1 - 2016

N2 - We present a new approach to handle uncertain combinatorial optimization problems that uses solution ranking procedures to determine the degree of robustness of a solution. Unlike classic concepts for robust optimization, our approach is not purely based on absolute quantitative performance, but also includes qualitative aspects that are of major importance for the decision maker. We discuss the two variants, solution ranking and objective ranking robustness, in more detail, presenting problem complexities and solution approaches. Using an uncertain shortest path problem as a computational example, the potential of our approach is demonstrated in the context of evacuation planning due to river flooding.

AB - We present a new approach to handle uncertain combinatorial optimization problems that uses solution ranking procedures to determine the degree of robustness of a solution. Unlike classic concepts for robust optimization, our approach is not purely based on absolute quantitative performance, but also includes qualitative aspects that are of major importance for the decision maker. We discuss the two variants, solution ranking and objective ranking robustness, in more detail, presenting problem complexities and solution approaches. Using an uncertain shortest path problem as a computational example, the potential of our approach is demonstrated in the context of evacuation planning due to river flooding.

KW - Robust Optimization

KW - Solution Ranking

KW - Combinatorial Optimization,

KW - Evacuation Planning

M3 - Working paper

BT - Ranking robustness and its application to evacuation planning

ER -