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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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/5/856 |
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| author | Jian Yin Bo Sun Yunsheng Fan Liran Shen Zhan Shi |
| author_facet | Jian Yin Bo Sun Yunsheng Fan Liran Shen Zhan Shi |
| author_sort | Jian Yin |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c0f9dad4b0d7497d9c656dae7d3aeeca |
| institution | OA Journals |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-c0f9dad4b0d7497d9c656dae7d3aeeca2025-08-20T02:33:50ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-04-0113585610.3390/jmse13050856A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft SchedulingJian Yin0Bo Sun1Yunsheng Fan2Liran Shen3Zhan Shi4College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, ChinaBeijing Institute of Space Systems Engineering, Beijing 100176, ChinaCollege of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, ChinaCollege of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, ChinaCollege of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, ChinaTo 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.https://www.mdpi.com/2077-1312/13/5/856carrier aircraft job schedulingsimulation platformscene generationcombination of virtuality and realityreal-time presentation |
| spellingShingle | Jian Yin Bo Sun Yunsheng Fan Liran Shen Zhan Shi A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling Journal of Marine Science and Engineering carrier aircraft job scheduling simulation platform scene generation combination of virtuality and reality real-time presentation |
| title | A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling |
| title_full | A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling |
| title_fullStr | A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling |
| title_full_unstemmed | A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling |
| title_short | A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling |
| title_sort | two tier genetic algorithm for real time virtual physical fusion in unmanned carrier aircraft scheduling |
| topic | carrier aircraft job scheduling simulation platform scene generation combination of virtuality and reality real-time presentation |
| url | https://www.mdpi.com/2077-1312/13/5/856 |
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