Adaptive Genetic Algorithm for Alternate Access Scheduling Optimization of Stereo Garage Considering FCFS Principle

In view of the lack of attention to the FCFS (first-come first-served) principle in the optimization work of the stereo garage scheduling problem, a set of data structures is designed to ensure that in the case of alternate access optimization using genetic algorithm, the parking request sequence and car pickup request sequence of the stereo garage complies with FCFS principle respectively, which provides a reference for the scheduling optimization of stereo garage in ensuring service fairness. Aiming at the problems of prematurity and slow convergence speed of traditional genetic algorithm, an adaptive genetic algorithm is applied. The experimental results in peak and usual times of parking and peak times of taking out cars show that, compared with traditional genetic algorithm, the adaptive genetic algorithm has stronger search ability in the optimization of alternate access to stereo garage.