Open AccessArtificial Immune Algorithm-based Airplane Path Planning under Complicated Environment
Author(s) -
Lifeng Liu,
Zongwei Niu
Publication year - 2021
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
ISSN - 1998-4464
DOI - 10.46300/9106.2021.15.87
Subject(s) - adaptability , artificial immune system , airplane , genetic algorithm , computer science , motion planning , artificial intelligence , route planning , mathematical optimization , machine learning , engineering , mathematics , aerospace engineering , ecology , biology , robot
This paper mainly studies the flight route planning in complex and uncertain environments. The improved artificial immune algorithm is used to complete the flight route planning in different complex environments. The experimental results show that the improved artificial immune algorithm has a higher success rate of route planning than the common genetic algorithm in complex environments; therefore, it also shows that this method has better adaptability in complex environment