Open AccessApplication of Ant Colony Algorithm to Air Route Planning in Helicopter Submarine Searching
Author(s) -
Lin Li,
Zongtan Zhou,
Qiang Han,
Jie Yu,
Xinyi Lv,
Bi Simin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032004
Subject(s) - route planning , ant colony optimization algorithms , ant colony , submarine , operations research , engineering , constraint (computer aided design) , computer science , simulation , algorithm , transport engineering , marine engineering , mechanical engineering
Air route planning system is the core of antisubmarine call-search mission which is carried out by an ASW helicopter, and the efficiency of mission completion is decided by the algorithm adopted. Considering actual army training and combat, this paper analyses the basic elements of responding-antisubmarine air route planning system systematically, constitutes assessment index of air route planning system, presents the constraint conditions which should be considered by the system and carries out simulation calculation by ant colony algorithm. Finally, this paper summarizes the applicable circumstances of responding-antisubmarine air route planning methods based on ant colony algorithm, which will be of great value to improve army combat and training efficiency.