Multiroute Planning for Aircraft Using Genetic Algorithms

摘要

This paper proposes a scheme for generating multiple flight routes using genetic algorithms (GAs). In obtaining multiple routes or multiroutes by GAs simultaneously, there is a problem of collisions or near-misses occurring due to interference between the routes (closeness or intersecting of the routes) when similar routes are generated. The proposed scheme realizes a scheme for searching multiple flight routes without interference by incorporating a method for correcting their fitness on the basis of the neighborhood density for maintaining the variety and the degree of interference or the interference degree for obtaining routes that do not come close to or intersect one another. In addition, this paper proposes a priority candidate preserving strategy that preserves superior multiple individuals for each generation in order to improve the search performance. Computer simulation results confirm that the scheme proposed generates multiple flight routes without interference, indicating its efficacy.