Special issue at MMOR

Special issue on Exact and Approximation Methods for Mixed-Integer Multi-Objective Optimization at Mathematical Methods of Operations Research

Multi-objective optimization problems are solved according to the principle of efficiency: a solution is efficient if no other feasible solution exists that is better or equal in all objectives, with at least one strict inequality. Each efficient solution corresponds to a possible compromise among the several objectives and is potentially relevant to a decision maker. Depending on the context, the goal is to compute either the set of all efficient solutions, its image in the objective space, or a representation of that image according to some measure of interest. The multidimensional nature of these problems raises relevant mathematical and algorithmic challenges. The aim of this Special Issue is to collect the latest advances on exact and approximation methods with quality guarantees for multi-objective (mixed) integer optimization problems. High-quality contributions that advance the state-of-the-art for these problems are sought.