Air Rescue Multi-Good Aircraft-Scheduling Model Based on the Improved Genetic Algorithm

摘要

Air Rescue Multi-Good Aircraft-Scheduling Model Based on the Improved Genetic Algorithm To cope with conditions such as multiple rescue points, multiple disaster areas, multiple stages, aircraft scheduling constraints caused by the demand difference between durable and fast moving consumer goods, and aircraft fuel consumption in emergency rescue situations, a multi-objective aircraft-scheduling planning model is developed to achieve the shortest rescue time and lowest rescue cost. The model is solved by using the improved genetic algorithm. An aircraft-scheduling plan within the scheduling cycle is developed on the basis of illustrative example analysis. Research results indicate that the developed model can set up aircraft-scheduling plans under multi-objective programming and that the improved genetic algorithm has a larger range of adaptability and fast rate of convergence than the genetic algorithm.