By Theodore Tsekeris, Loukas Dimitriou, Antony Stathopoulos (auth.), Andreas Fink, Franz Rothlauf (eds.)
The e-book handy offers a cautious number of correct functions of CI tools for delivery, logistics, and provide chain administration difficulties. The chapters illustrate the present state of the art within the software of CI tools in those fields and will support and encourage researchers and practitioners to use and strengthen effective tools. a number of contributions during this e-book are prolonged types of papers awarded at EvoTransLog2007: the 1st ecu Workshop on Evolutionary Computation in Transportation and Logistics which used to be held in Valencia, Spain, in 2007. nearly all of contributions are from extra, specifically chosen researchers, who've performed proper paintings in numerous parts of delivery, logistics, and provide chain administration. The aim is to greatly hide consultant purposes in those fields in addition to sorts of resolution techniques. at the program aspect, the contributions concentrate on layout of site visitors and transportation networks, automobile routing, and different vital facets of provide chain administration resembling stock administration, lot sizing, and lot scheduling. at the process part, the contributions take care of evolutionary algorithms, neighborhood seek techniques, and scatter seek mixed with different CI concepts resembling neural networks or fuzzy techniques. The booklet is dependent in accordance with the appliance domain names. hence, it has 3 elements facing site visitors and transportation networks, automobile routing, and provide chain management.
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Extra info for Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management
94%, which is lower than the acceptable upper bound of 10%. 1 (see right diagram). , a greater ability to respond to the various states of its variables, in comparison to the NDP without reliability requirements. The proposed optimization framework can be regarded as computational intensive, considering its ability to handle such complex problems. This is because the combination of three procedures, namely the GA combined with the Latin Hypercube random sampling and the traﬃc assignment, requires a substantial computational eﬀort.
Et al. ) EvoWorkshops 2007. LNCS, vol. 4448, pp. 678–687. Springer, Heidelberg (2007) 12. : Network design: Selection and design of links and facility location. Transportation Research, Part A: Policy and Practice 37, 241–256 (2003) 13. : Degradable transportation systems: Sensitivity and reliability analysis. Transportation Research, Part B: Methodological 31, 225–237 (1997) 42 L. Dimitriou, T. Tsekeris, and A. Stathopoulos 14. : A conceptual framework for optimal transportation systems planning with integrated supply and demand models.
As mentioned above, the current study investigates the optimum network design problem subject to Total Travel Time (T T T ) reliability requirements. Such a measure of reliability seeks to ensure the stable operation of the system within a pre-speciﬁed Level of Service (LoS), since it is deﬁned as the probability that network total travel time will be less than some predeﬁned bound (see Sect. 2). The methodology suggested here employs a holistic approach for modeling the network reliability, in terms of all possible sources of uncertainty pertaining to the system operation.