A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling

To address the key challenges of poor real-time interaction, insufficient integration of operating rules, and limited virtual–physical synergy in current carrier-based aircraft scheduling simulations, this study proposes an immersive digital twin platform that integrates a two-layer genetic algorith...

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Bibliographic Details
Published in:Journal of marine science and engineering Vol. 13; no. 5; p. 856
Main Authors: Yin, Jian, Sun, Bo, Fan, Yunsheng, Shen, Liran, Shi, Zhan
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.05.2025
Subjects:
Aircraft
Aircraft carriers
Algorithms
Analysis
Aviation
carrier aircraft job scheduling
Collaboration
combination of virtuality and reality
Computer applications
Constraints
Costs
Current carriers
Data exchange
Decision making
Defence craft
Design
Digital twins
Evolution
Feedback
Flight decks
Genetic algorithms
Kinematics
Naval aviation
Physical simulation
R&D
Real time
real-time presentation
Research & development
scene generation
Scheduling
Simulation
Simulation methods
simulation platform
Taxiing
Three dimensional models
Training
Unmanned aircraft
Virtual reality
Visualization
China
ISSN:2077-1312, 2077-1312
Online Access:Get full text
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Summary:To address the key challenges of poor real-time interaction, insufficient integration of operating rules, and limited virtual–physical synergy in current carrier-based aircraft scheduling simulations, this study proposes an immersive digital twin platform that integrates a two-layer genetic algorithm (GA) with hardware-in-the-loop (HIL) semi-physical validation. The platform architecture combines high-fidelity 3D visualization-based modeling (of aircraft, carrier deck, and auxiliary equipment) with real-time data exchange via TCP/IP, establishing a collaborative virtual–physical simulation environment. Three key innovations are presented: (1) a two-tier genetic algorithm (GA)-based scheduling model is proposed to coordinate global planning and dynamic execution optimization for carrier-based aircraft operations; (2) a systematic constraint integration framework incorporating aircraft taxiing dynamics, deck spatial constraints, and safety clearance requirements into the scheduling system, significantly enhancing tactical feasibility compared to conventional approaches that oversimplify multidimensional operational rules; (3) an integrated virtual–physical simulation architecture merging virtual reality interaction with HIL verification, establishing a collaborative digital twin–physical device platform for immersive visualization of full-process operations and dynamic spatiotemporal evolution characterization. Experimental results indicate that this work bridges the gap between theoretical scheduling algorithms and practical naval aviation requirements, offering a standardized testing platform for intelligent carrier-based aircraft operations.
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ISSN:2077-1312
2077-1312
DOI:10.3390/jmse13050856