Airport Systems: Planning, Design, and Management by Amedeo Odoni, Richard de Neufville

By Amedeo Odoni, Richard de Neufville

* the recent typical on airport platforms planning,design, and administration
* presents strategies to the main urgent airport issues: enlargement, site visitors, setting, additions, and so on.
* complete assurance of computer-based instruments and technique
* extra experiences and updates on hand through authors' web site

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D. GUENOV ET AL. Fig. 15 Kursawe solution obtained with the NC1 method (design space). The peculiarity of test case Kursawe is its symmetry, as shown in Fig. 15. Furthermore, the global Pareto front is also discontinuous. A total of 33,345 analyses were required for obtaining the solution. Figure 15 shows the results obtained in the design space together with the overlapping contour lines of the two objective functions. Figure 16 shows the solution obtained in the criterion space. As can be seen from the figures, the global Pareto front is composed of four distinct regions, one of which corresponds to the single point for which x ¼ (0, 0), the minimum of objective function F1 .

It is then natural to exclude from consideration any design solution that can be improved without deterioration of any objective and violation of the constraints—in multi-objective optimization terms, a solution that is dominated. This leads to the Pareto optimal solutions [13]. Mathematically, each Pareto point is a solution of the multi-objective optimization problem. In practice, however, the designer would select the ultimate solution among the Pareto set on the basis of additional (often subjective) requirements.

Because our objective is to reduce the number of modified models as much as possible (because, as mentioned earlier, modified models add to the computational cost of the system), the criteria for which a model is chosen for guessing its inputs and outputs should reflect this objective. A new rule is therefore introduced to account for modified models: 6) Among the models that are part of an SCC for which not all 1s have been replaced after applying the preceding five rules, the models for which the new inputs differ from the original ones are selected for guessing.

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