基于新型PSGA算法的通航物流配载效能优化问题研究

Optimization of General Aviation Logistics Stowage Based on PSGA-improved Algorithm

2012年国务院下发了《低空空域管理改革指导意见》,意味着我国低空通用航空产业将迎来一个新的发展阶段。在通用航空中,低空物流是最具前景的通航应用业态之一,因此对其核心业务运营系统的研究与认识具有重要的现实意义。建立与通用飞行器飞行状态相关的通航物流配载效能优化模型,同时利用在遗传算法基础上经过算子与流程改进的PSGA算法对模型进行求解,不仅较好地提高了模型求解的效率与精度,也能够使配载模型和算法模型在通航物流企业业务运营中获得更好的实践意义。

In 2012,the State Council issued the Guidelines for the Reform of Low Altitude Airspace Management,which means that China's low-altitude general aviation industry will usher in a new stage of development.In general aviation application,the most promising industry and potential application area is the general aviation logistics,so the research and understanding of the general aviation logistics operating system has more practical significance.This paper established the optimization model of general aviation logistics stowage efficiency related to the flight state of general aircraft.At the same time,the model is solved by PSGA algorithm based on Genetic Algorithm by improving operator and process,which can improve the efficiency and accuracy of model solution,and it can also make the loading model and algorithm model obtain better practical significance in the business operation of general aviation logistics enterprises.