ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Multi-objective optimization for channel allocation in mobile computing using NSGA-II
International Journal of Network Management
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A novel airplane land based ramp ski-jump takeoff method via Non-dominated Sorting Genetic Algorithm II (NSGAII) was proposed. First, mathematic model and characteristic parameters of ramp runway were analyzed. Then, dynamic models of the whole takeoff process were given. After that, various constraints and restrictions were comprehensive considered. Later on, a multiobjective optimization model for considerations of minimum horizontal distance and minimum cost combined with former restrictions was proposed. Finally, NSGAII was used to solve the multiobjective optimization problem. Applications to some airplane type show that the proposed method via NSGAII can greatly reduce the running distance from 1195 meter to 600 meter under the same condition. The ramp height is about 20-30 meter and outlet angle about 20 degree. This method is convictive and practical for wartime emergent land-based runway design and carrier frontal ramp ski-jump runway design, which is expected to greatly enhance the response speed of airplanes.