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dc.contributor.authorBossek, J.-
dc.contributor.authorGrimme, C.-
dc.contributor.authorRudolph, G.-
dc.contributor.authorTrautmann, H.-
dc.identifier.citationProceedings of the IEEE Congress on Evolutionary Computation (CEC 2020), 2020, pp.1-8-
dc.descriptionPart of: IEEE WCCI 2020 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The 2020 International Joint Conference on Neural Networks (IJCNN 2020); the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020); and the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020).-
dc.description.abstractWe consider a dynamic bi-objective vehicle routing problem, where a subset of customers ask for service over time. Therein, the distance traveled by a single vehicle and the number of unserved dynamic requests is minimized by a dynamic evolutionary multi-objective algorithm (DEMOA), which operates on discrete time windows (eras). A decision is made at each era by a decision-maker, thus any decision depends on irreversible decisions made in foregoing eras. To understand effects of sequences of decision-making and interactions/ dependencies between decisions made, we conduct a series of experiments. More precisely, we fix a set of decision-maker preferences D and the number of eras nt and analyze all jDjnt combinations of decision-maker options. We find that for random uniform instances (a) the final selected solutions mainly depend on the final decision and not on the decision history, (b) solutions are quite robust with respect to the number of unvisited dynamic customers, and (c) solutions of the dynamic approach can even dominate solutions obtained by a clairvoyant EMOA. In contrast, for instances with clustered customers, we observe a strong dependency on decision-making history as well as more variance in solution diversity.-
dc.description.statementofresponsibilityJakob Bossek, Christian Grimmey, Günter Rudolph and Heike Trautmanny-
dc.relation.ispartofseriesIEEE Congress on Evolutionary Computation-
dc.rights©2020 IEEE-
dc.subjectTransportation; vehicle routing; decision making; multi-objective optimization; combinatorial optimization; orienteering; dynamic optimization-
dc.titleTowards decision support in dynamic bi-objective vehicle routing-
dc.typeConference paper-
dc.contributor.conferenceIEEE Congress on Evolutionary Computation (CEC) (19 Jul 2020 - 24 Jul 2020 : Glasgow, United Kingdom)-
dc.identifier.orcidBossek, J. [0000-0002-4121-4668]-
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