In this paper we take the reader on a very brief guided tour of mul-tiobjective combinatorial optimization (MOCO). We point out the increasing importance of consideration of multiple objectives in real world applications of combinatorial optimization, survey the problem context and the main characteristics of (MOCO) problems. Our main stops on the tour are for overviews of exact and heuristic solution methods for MOCO. We conclude the presentation with an outlook on promising destinations for future expeditions into the field.
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