The Robust (Minmax Regret) Quadratic Assignment Problem with Interval Flows

We consider a generalization of the classical quadratic assignment problem, where material flows between facilities are uncertain, and only upper and lower bounds are known for each flow. The objective is to find a minmax regret solution. We present an exact Benders decomposition algorithm based on two developed mathematical programming formulations and on the developed linearizations of master problems, and a heuristic based on using tabu search in the context of a Benders decomposition framework. Then, we develop a hybrid Benders decomposition approach that allows us to combine the speed of heuristics with the rigor and precision of the exact Benders method. We discuss the results of extensive computational experiments.