Open AccessRoute Planning of Intelligent Aircraft under Multiple Constraints
Author(s) -
Jinling Liu,
Yue Wang,
Lijun Hong,
Xiaochun Hong
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012149
Subject(s) - realization (probability) , particle swarm optimization , route planning , mathematical optimization , constraint (computer aided design) , computer science , simple (philosophy) , genetic algorithm , algorithm , engineering , mathematics , mechanical engineering , philosophy , statistics , epistemology
In the study of multi-constraint route planning, the commonly used methods include genetic algorithm (GA), particle swarm optimization (PSO) etc. However, these algorithms are often too complex in practical applications and often get local optimal solutions when the number of calculations is too small. In this paper, we proposed the tangential progressive correction (TPC) model to solve the problem of route planning, it’s a kind of guided model with the characteristics of simple realization, good results and high calculation speed for planning aircraft route problem. At the end of the paper, we provided the simulation for relevant data.