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Books on the topic 'Transport optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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1

Ardema, Mark D. Optimization of supersonic transport trajectories. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1998.

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2

Gkiotsalitis, Konstantinos. Public Transport Optimization. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0.

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3

Schiewe, Philine. Integrated Optimization in Public Transport Planning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46270-3.

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4

United States. National Aeronautics and Space Administration., ed. High speed civil transport aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.

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5

United States. National Aeronautics and Space Administration., ed. High speed civil transport aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.

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6

United States. National Aeronautics and Space Administration., ed. Supersonic transport grid generation, validation, and optimization. [Washington, DC: National Aeronautics and Space Administration, 1995.

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7

Espana, Martin. Direct adaptive performance optimization of subsonic transports: a periodic perturbation technique. Edwards, Calif: Dryden Flight Research Center, 1995.

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8

Palagin, Yu I., V. A. Glinsky, and A. I. Mochalov. Intermodal transport and logistics processes. Forwarding, technology, optimization. Санкт-Петербург: Издательство "Политехника", 2019. http://dx.doi.org/10.25960/7325-1141-3.

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9

Gilyard, Glenn. Development of a real-time transport performance optimization methodology. Edwards, Calif: Dryden Flight Research Center, 1996.

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10

Groundwater optimization handbook: Flow, contaminant transport, and conjunctive management. Boca Raton, FL: Taylor & Francis, 2012.

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11

Wrenn, Gregory A. Multilevel decomposition approach to the preliminary sizing of a transport aircraft wing. Hampton, Va: Langley Research Center, 1990.

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12

United States. National Aeronautics and Space Administration., ed. High speed civil transport: Sonic boom softening and aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.

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13

United States. National Aeronautics and Space Administration., ed. High speed civil transport: Sonic boom softening and aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.

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14

E, Mabson G., and Langley Research Center, eds. Cost Optimization Software for Transport Aircraft Design Evaluation (COSTADE): Overview. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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15

Facility, Dryden Flight Research, ed. A concept for adaptive performance optimization on commercial transport aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1995.

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16

Elefteriadou, Lily. An introduction to traffic flow theory. New York: Springer, 2014.

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17

M, Sliwa Steven, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Parametric study of a canard-configured transport using conceptual design optimization. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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18

M, Barthelemy Jean-Francois, and Langley Research Center, eds. Application of multidisciplinary optimization methods to the design of a supersonic transport. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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19

Optimal transport: Old and new. Berlin: Springer, 2009.

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20

Gilyard, Glenn B. In-flight transport performance optimization: An experimental flight research program and an operational scenario. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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21

NASA Dryden Flight Research Center., ed. In-flight transport performance optimization: An experimental flight research program and an operational scenario. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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22

NASA Dryden Flight Research Center., ed. In-flight transport performance optimization: An experimental flight research program and an operational scenario. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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23

Gilyard, Glenn B. In-flight transport performance optimization: An experimental flight research program and an operational scenario. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1997.

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24

Bank, Asian Development, ed. Green transport: Resource optimization in the road sector in the People's Republic of China. Beijing: China Economic Pub. House, 2009.

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25

Bank, Asian Development, ed. Green transport: Resource optimization in the road sector in the People's Republic of China. Beijing: China Economic Pub. House, 2009.

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26

NATO, Advanced Study Institute on Targeting of Drugs: Optimization Strategies (1989 Ákra Soúnion Greece). Targeting of drugs 2: Optimization strategies. New York: Plenum Press, 1990.

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27

Müller, Kerstin Andrea. Optimization of tracer experiments to characterize transport properties in heterogeneous aquifers using non-invasive measurement techniques. Jülich: Forschungszentrum, Zentralbibliothek, 2006.

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28

Torenbeek, Egbert. Advanced aircraft design: Conceptual design, analysis, and optimization of subsonic civil airplanes. Chichester, West Sussex, United Kingdom: Wiley, 2013.

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29

Mischenko, Aleksandr, and Anastasiya Ivanova. Optimization models for managing limited resources in logistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082948.

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In the proposed monograph, optimization models for managing limited resources in logical systems are considered. Such systems are primarily used by industrial enterprises, transport companies and trade organizations, including those that carry out wholesale activities. As a rule, the efficiency of these objects largely depends on how rational use of limited resources such as: consumer camera business, labor, vehicles, etc. In this paper, various approaches to managing such resources are considered both for deterministic models and for the situation when a number of model parameters are not specified exactly, that is, for stochastic models. In this case, it is proposed to evaluate the stability of models to the occurrence of various types of risk events, both by the structure of the solution and by the functionality. It is addressed to senior students, postgraduates and masters studying in the specialty "Management" and "Logistics", as well as specialists in the field of logistics systems modeling.
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30

Alekseev, G. V. Optimizat︠s︡ii︠a︡ v stat︠s︡ionarnykh zadachakh teplomassoperenosa i magnitnoĭ gidrodinamiki. Moskva: Nauchnyĭ mir, 2010.

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31

Baysal, Oktay. Aerodynamic shape optimization directed toward a supersonic transport using sensitivity analysis: Final report for the period ended August 15, 1995. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering & Technology, Old Dominion University, 1995.

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32

Koch, Thorsten. Evaluating gas network capacities. Philadelphia: Society for Industrial and Applied Mathematics, 2015.

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33

A, Radovcich N., Lockheed-California Company, and Langley Research Center, eds. Study for the optimization of a transport aircraft wing for mximum fuel efficiency: Volume I. Methodology, criteria, aeroelastic model definition, and results. Burbank, Calif: Lockheed-California Company, 1985.

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34

J, Glaab Louis, and Langley Research Center, eds. Experimental and numerical optimization of a high-lift system to improve low-speed performance, stability, and control of an arrow-wing supersonic transport. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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35

1940-, Jäger W., Rannacher Rolf, and Warnatz J, eds. Reactive flows, diffusion and transport: From experiments via mathematical modeling to numerical simulation and optimization : final report of SFB (Collaborative Research Center) 359. Berlin: Springer, 2007.

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36

United States. National Aeronautics and Space Administration., ed. Integrated design and manufacturing for the high speed civil transport: Preliminary design methodology and optimization for an HSCT Nacelle/Wing configuration : final report. [Washington, DC: National Aeronautics and Space Administration, 1994.

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37

Ardema, Mark D. Development of advanced methods of structural and trajectory analysis for transport aircraft: Annual report : October 1, 1995 - September 30, 1996. Santa Clara, CA: Santa Clara University, 1996.

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38

United States. National Aeronautics and Space Administration., ed. Development of advanced methods of structural and trajectory analysis for transport aircraft: Annual report : October 1, 1995 - September 30, 1996. Santa Clara, CA: Santa Clara University, 1996.

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39

Murav'ev, Dmitriy, Aleksandr Rahmangulov, Nikita Osincev, Sergey Kornilov, and Aleksandr Cyganov. The system "seaport - "dry" port". ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1816639.

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The monograph presents an approach to solving the problem of increasing the throughput and processing capacity of seaports in conditions of limiting their territorial dislocation and increasing the unevenness of external and internal cargo flows. The basis of the approach is the proposed system of the main parameters of the dry port and the methodology of simulation modeling of the functioning of the system "seaport - dry port". The material is illustrated with examples of the implementation of the developed approach, including model scenarios of multi-agent optimization of the parameters of the system under study. The proposed approach and the developed methodology can be used to justify management decisions on the balanced development of transport and logistics infrastructure of the regions hosting sea and dry ports. It is intended for specialists of transport and logistics companies, engineering and technical workers engaged in solving problems in the field of logistics, supply chain management and transport infrastructure design. In addition, it is recommended to students in the following programs: postgraduate studies 23.06.01 "Land transport engineering and technology" (focus "Transport and transport-technological systems of the country, its regions and cities, organization of production in transport") and 27.06.01 "Management in technical systems" (focus "Management of transportation processes"); master's degree 23.04.01 "Technology of transport processes" (profile "Organization of transportation and management in a single transport system"); bachelor's degree 38.03.02 "Management" (profile "Logistics") and 23.03.01 "Technology of transport processes".
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40

Brodeckiy, Gennadiy, Denis Gusev, and Ivan Shidlovskiy. Multi-criteria choice in logistics research. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1902741.

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Methods and models of optimization of solutions under many criteria are considered, which are conditioned by modern tasks to improve the operation of supply chains and logistics systems. Attention is paid to their specifics in relation to the tasks of organizing transport supply support. The anomalous phenomena of "blindness" to the indicators of individual particular criteria and the phenomena of "blocking" the choice of alternatives when optimizing such systems are analyzed. Special modifications of traditional selection criteria for optimization are presented, allowing to eliminate these phenomena in order to more effectively adapt the selected best solution to the preferences of the decision-maker. The analysis of filtering possibilities of the initially specified alternatives is given so that optimization procedures can be implemented in real time. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of institutions of higher education. It can be useful for graduate students, logisticians and entrepreneurs who want to organize their business more efficiently.
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41

United States. National Aeronautics and Space Administration., ed. Development of advanced methods of structural and trajectory analysis for transport aircraft: Final report : October 1, 1995-February 28, 1998 : NASA Ames Research Center grant NCC2-5167. [Washington, DC: National Aeronautics and Space Administration, 1998.

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42

B, Gilyard Glenn, and United States. National Aeronautics and Space Administration., eds. Direct adaptive performance optimization of subsonic transports: A periodic perturbation technique. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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43

Glenn, Gilyard, and United States. National Aeronautics and Space Administration., eds. Direct adaptive performance optimization of subsonic transports: A periodic perturbation technique. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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44

B, Gilyard Glenn, and United States. National Aeronautics and Space Administration., eds. Direct adaptive performance optimization of subsonic transports: A periodic perturbation technique. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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45

Advances in collaborative civil aeronautical multidisciplinary design optimization. Reston, Va: American Institute of Aeronautics and Astronautics, 2010.

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46

Gkiotsalitis, Konstantinos. Public Transport Optimization. Springer International Publishing AG, 2022.

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47

Bergounioux, Maïtine, Édouard Oudet, Martin Rumpf, Guillaume Carlier, Thierry Champion, and Filippo Santambrogio, eds. Topological Optimization and Optimal Transport. De Gruyter, 2017. http://dx.doi.org/10.1515/9783110430417.

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48

Correia, Gonçalo, and Antonio Antunes. Transport Systems Optimization: Models and Applications. Elsevier, 2020.

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49

Schiewe, Philine. Integrated Optimization in Public Transport Planning. Springer International Publishing AG, 2021.

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50

Schiewe, Philine. Integrated Optimization in Public Transport Planning. Springer, 2020.

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