A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary Mechanism
For the satellite orbit pursuit–evasion game problem, this paper proposes a multi-stage optimization-based solution aimed at improving the confrontation strategies between task satellites and target satellites in complex space environments. The approach divides the satellite pursuit–evasion game int...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/8/1441 |
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| author | Jian Wu Xusheng Xu Qiufan Yuan Haodong Han Daming Zhou |
| author_facet | Jian Wu Xusheng Xu Qiufan Yuan Haodong Han Daming Zhou |
| author_sort | Jian Wu |
| collection | DOAJ |
| description | For the satellite orbit pursuit–evasion game problem, this paper proposes a multi-stage optimization-based solution aimed at improving the confrontation strategies between task satellites and target satellites in complex space environments. The approach divides the satellite pursuit–evasion game into two phases: the “approach phase” and the “sustained phase”. It dynamically optimizes the trajectories and strategies of the task and target satellites to achieve adaptive orbit control and behavior optimization. To enhance the global search capability and local convergence of the algorithm, this paper employs the Zebra Optimization Algorithm, introducing a multi-population cooperative evolution mechanism, and integrates differential game theory to improve the stability and reliability of the game strategies. Simulation results demonstrate that the proposed method effectively enhances task efficiency under multiple constraints, dynamically adjusts the strategies of both the pursuer and the evader, and provides an efficient, scalable solution applicable to satellite pursuit–evasion games in complex space environments. |
| format | Article |
| id | doaj-art-ee45b9394b1b4ebab30cae02585df947 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-ee45b9394b1b4ebab30cae02585df9472025-08-20T02:18:01ZengMDPI AGRemote Sensing2072-42922025-04-01178144110.3390/rs17081441A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary MechanismJian Wu0Xusheng Xu1Qiufan Yuan2Haodong Han3Daming Zhou4Rocket Force University of Engineering, Xi’an 710025, ChinaAerospace System Engineering Shanghai, Shanghai 201109, ChinaAerospace System Engineering Shanghai, Shanghai 201109, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaFor the satellite orbit pursuit–evasion game problem, this paper proposes a multi-stage optimization-based solution aimed at improving the confrontation strategies between task satellites and target satellites in complex space environments. The approach divides the satellite pursuit–evasion game into two phases: the “approach phase” and the “sustained phase”. It dynamically optimizes the trajectories and strategies of the task and target satellites to achieve adaptive orbit control and behavior optimization. To enhance the global search capability and local convergence of the algorithm, this paper employs the Zebra Optimization Algorithm, introducing a multi-population cooperative evolution mechanism, and integrates differential game theory to improve the stability and reliability of the game strategies. Simulation results demonstrate that the proposed method effectively enhances task efficiency under multiple constraints, dynamically adjusts the strategies of both the pursuer and the evader, and provides an efficient, scalable solution applicable to satellite pursuit–evasion games in complex space environments.https://www.mdpi.com/2072-4292/17/8/1441zebra optimization algorithmcooperative evolutionsatellite pursuit–evasiongame optimizationdifferential game theory |
| spellingShingle | Jian Wu Xusheng Xu Qiufan Yuan Haodong Han Daming Zhou A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary Mechanism Remote Sensing zebra optimization algorithm cooperative evolution satellite pursuit–evasion game optimization differential game theory |
| title | A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary Mechanism |
| title_full | A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary Mechanism |
| title_fullStr | A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary Mechanism |
| title_full_unstemmed | A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary Mechanism |
| title_short | A Multi-Stage Optimization Approach for Satellite Orbit Pursuit–Evasion Games Based on a Coevolutionary Mechanism |
| title_sort | multi stage optimization approach for satellite orbit pursuit evasion games based on a coevolutionary mechanism |
| topic | zebra optimization algorithm cooperative evolution satellite pursuit–evasion game optimization differential game theory |
| url | https://www.mdpi.com/2072-4292/17/8/1441 |
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