Research on sequencing optimization of military aircraft turnaround activities based on genetic algorithm

Abstract

Turnaround is a series of effective activities, which are prepared in order to turn out immediately next time after the last turn out according to the scheduled preparation project, turnaround time is one of the most important major parameter which can measure and judge the war power of the military aircraft [1]. In order to shorten the turnaround time, enhance the availability of the logistics resources, and reduce the vacancy rate of the support equipment and support personnel, in this paper, it applies activity route optimization algorithm of Genetic Algorithm (GA) in this article to analyze and research that turnaround activities of one particular type of task of military aircraft [2]. At first, these certain turnaround activities will be divided into several activity characteristic elements, then make sure the priority ordering of the activity characteristic elements according to the all kinds of containment relationships between all two characteristic elements, after that set up optimized objective function, and on this basis, set up fitness function. Then, utilize crossover operator to change the sequence of the logistic activities, and use the mutation operator to figure out the scale of logistical resource, get a optimized activity planning scheme for the turnaround activities. Finally, through an example verify the sequencing optimization method’s feasibility and effectiveness [3].