Titlebook: Applied Simulation and Optimization 2; New Applications in Miguel Mujica Mota,Idalia Flores De La Mota Book 2017 Springer International Pu

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https://doi.org/10.1057/9780230392403, saving on fuel. By using the above considerations, a cost function is set out that considers the power from both machines to be inputs. The simulations were performed in Matlab’s Simulink using detailed models of the elements of a hybrid diesel-electric city bus in parallel configuration. The dema

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An Introduction to Optimization Theory,tionship. It is rather the signal timing and the interplay between the clearing rate of each intersection which determines the formation and duration of congestion. Junctions often differ in their design and throughput. General conclusions on the relationship between vehicle speed and traffic flows

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Environmental Taxes and Fiscal Reformelays generated is becoming a necessity. This chapter presents a new departure sequencing algorithm based on operation research methods in the context of the CDM implementation over the European airports. This algorithm is described and results and benefits are demonstrated using data from Paris Cha

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https://doi.org/10.1057/9780230392403ntrol and then comparing it with Pontryagin’s alternative. The first strategy, known as the planetary gears system (PGS), focuses on satisfying the kinematic and dynamic constraints of the gears system, starting from the allocation of the electric machine power. The second uses Pontryagins minimum p

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https://doi.org/10.1057/9780230392403ion system. In the system modeled, vendors may require minimum purchase requirements for each order. The model can be used to determine whether retail outlets should order product directly from the vendors, or through a centralized warehouse, as well as whether each retail outlet should violate its

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https://doi.org/10.1007/978-3-642-59235-5n of Mexico City is assessed. A mathematical programming model was developed to allow for fuel dispatch truck allocation, minimizing the total distribution cost. Heuristics were used to solve the model and different simulation scenarios were applied to do what-if analysis to be able to decide on dif