G.A. Caritá , M.H.M. Morais , A.F.B.A. Prado , S. Aljbaae
{"title":"双圆受限四体问题双脉冲传递轨迹优化计算方法比较","authors":"G.A. Caritá , M.H.M. Morais , A.F.B.A. Prado , S. Aljbaae","doi":"10.1016/j.pss.2026.106245","DOIUrl":null,"url":null,"abstract":"<div><div>Optimization is a crucial process in astrodynamics, focused on finding the most efficient trajectories with minimum cost, especially in terms of total velocity change (<span><math><mrow><mi>Δ</mi><mi>V</mi></mrow></math></span>). The inherent complexity of orbital mechanics, particularly in multi-body systems and for long-duration transfers, often limits the effectiveness of traditional gradient-based methods, such as Non-Linear Programming (NLP), which are highly dependent on a high-quality initial guess. To overcome this limitation, meta-heuristic methods, which are robust and gradient-independent, are presented as a viable alternative. The present work evaluates the performance and efficiency of several single-objective meta-heuristic algorithms in the optimization of bi-impulsive transfer trajectories, starting from a Low Earth Orbit (LEO) at 200 km altitude toward retrograde co-orbital resonance using the Planar Restricted Bi-Circular Four-Body Problem (PBCR4BP). A comprehensive comparison was conducted using methods such as variants of Differential Evolution (DE), the Evolutionary Centers Algorithm (ECA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Re-sampled Inheritance Search (RIS) and others, comparing them against a Random Search (RAS) baseline. The results demonstrated that Differential Evolution (DE) based methods, notably the DE/rand/1/bin RL and AD-DE/rand/1/bin RL variants, achieved the best overall performance, effectively minimizing both the required <span><math><mrow><mi>Δ</mi><mi>V</mi></mrow></math></span> and the computational time. Furthermore, the robust optimization strategy successfully identified more efficient solutions than previously reported in the literature, achieving a minimum <span><math><mrow><mi>Δ</mi><mi>V</mi></mrow></math></span> of 0.1478 km/s. We conclude that meta-heuristic methods, particularly the advanced variants of Differential Evolution, are powerful, reliable, and efficient tools for optimizing transfer trajectories in the complex dynamic environment of the PBCR4BP. However, the sensitivity analysis indicated that long-duration transfers can be highly sensitive to small perturbations, especially for eccentric target orbits near Earth.</div></div>","PeriodicalId":20054,"journal":{"name":"Planetary and Space Science","volume":"271 ","pages":"Article 106245"},"PeriodicalIF":1.9000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of optimization methods for computing bi-impulsive transfer trajectories in the bi-circular restricted four-body problem\",\"authors\":\"G.A. Caritá , M.H.M. Morais , A.F.B.A. Prado , S. Aljbaae\",\"doi\":\"10.1016/j.pss.2026.106245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Optimization is a crucial process in astrodynamics, focused on finding the most efficient trajectories with minimum cost, especially in terms of total velocity change (<span><math><mrow><mi>Δ</mi><mi>V</mi></mrow></math></span>). The inherent complexity of orbital mechanics, particularly in multi-body systems and for long-duration transfers, often limits the effectiveness of traditional gradient-based methods, such as Non-Linear Programming (NLP), which are highly dependent on a high-quality initial guess. To overcome this limitation, meta-heuristic methods, which are robust and gradient-independent, are presented as a viable alternative. The present work evaluates the performance and efficiency of several single-objective meta-heuristic algorithms in the optimization of bi-impulsive transfer trajectories, starting from a Low Earth Orbit (LEO) at 200 km altitude toward retrograde co-orbital resonance using the Planar Restricted Bi-Circular Four-Body Problem (PBCR4BP). A comprehensive comparison was conducted using methods such as variants of Differential Evolution (DE), the Evolutionary Centers Algorithm (ECA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Re-sampled Inheritance Search (RIS) and others, comparing them against a Random Search (RAS) baseline. The results demonstrated that Differential Evolution (DE) based methods, notably the DE/rand/1/bin RL and AD-DE/rand/1/bin RL variants, achieved the best overall performance, effectively minimizing both the required <span><math><mrow><mi>Δ</mi><mi>V</mi></mrow></math></span> and the computational time. Furthermore, the robust optimization strategy successfully identified more efficient solutions than previously reported in the literature, achieving a minimum <span><math><mrow><mi>Δ</mi><mi>V</mi></mrow></math></span> of 0.1478 km/s. We conclude that meta-heuristic methods, particularly the advanced variants of Differential Evolution, are powerful, reliable, and efficient tools for optimizing transfer trajectories in the complex dynamic environment of the PBCR4BP. However, the sensitivity analysis indicated that long-duration transfers can be highly sensitive to small perturbations, especially for eccentric target orbits near Earth.</div></div>\",\"PeriodicalId\":20054,\"journal\":{\"name\":\"Planetary and Space Science\",\"volume\":\"271 \",\"pages\":\"Article 106245\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2026-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Planetary and Space Science\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0032063326000127\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/2/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ASTRONOMY & ASTROPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Planetary and Space Science","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0032063326000127","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/9 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
Comparison of optimization methods for computing bi-impulsive transfer trajectories in the bi-circular restricted four-body problem
Optimization is a crucial process in astrodynamics, focused on finding the most efficient trajectories with minimum cost, especially in terms of total velocity change (). The inherent complexity of orbital mechanics, particularly in multi-body systems and for long-duration transfers, often limits the effectiveness of traditional gradient-based methods, such as Non-Linear Programming (NLP), which are highly dependent on a high-quality initial guess. To overcome this limitation, meta-heuristic methods, which are robust and gradient-independent, are presented as a viable alternative. The present work evaluates the performance and efficiency of several single-objective meta-heuristic algorithms in the optimization of bi-impulsive transfer trajectories, starting from a Low Earth Orbit (LEO) at 200 km altitude toward retrograde co-orbital resonance using the Planar Restricted Bi-Circular Four-Body Problem (PBCR4BP). A comprehensive comparison was conducted using methods such as variants of Differential Evolution (DE), the Evolutionary Centers Algorithm (ECA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Re-sampled Inheritance Search (RIS) and others, comparing them against a Random Search (RAS) baseline. The results demonstrated that Differential Evolution (DE) based methods, notably the DE/rand/1/bin RL and AD-DE/rand/1/bin RL variants, achieved the best overall performance, effectively minimizing both the required and the computational time. Furthermore, the robust optimization strategy successfully identified more efficient solutions than previously reported in the literature, achieving a minimum of 0.1478 km/s. We conclude that meta-heuristic methods, particularly the advanced variants of Differential Evolution, are powerful, reliable, and efficient tools for optimizing transfer trajectories in the complex dynamic environment of the PBCR4BP. However, the sensitivity analysis indicated that long-duration transfers can be highly sensitive to small perturbations, especially for eccentric target orbits near Earth.
期刊介绍:
Planetary and Space Science publishes original articles as well as short communications (letters). Ground-based and space-borne instrumentation and laboratory simulation of solar system processes are included. The following fields of planetary and solar system research are covered:
• Celestial mechanics, including dynamical evolution of the solar system, gravitational captures and resonances, relativistic effects, tracking and dynamics
• Cosmochemistry and origin, including all aspects of the formation and initial physical and chemical evolution of the solar system
• Terrestrial planets and satellites, including the physics of the interiors, geology and morphology of the surfaces, tectonics, mineralogy and dating
• Outer planets and satellites, including formation and evolution, remote sensing at all wavelengths and in situ measurements
• Planetary atmospheres, including formation and evolution, circulation and meteorology, boundary layers, remote sensing and laboratory simulation
• Planetary magnetospheres and ionospheres, including origin of magnetic fields, magnetospheric plasma and radiation belts, and their interaction with the sun, the solar wind and satellites
• Small bodies, dust and rings, including asteroids, comets and zodiacal light and their interaction with the solar radiation and the solar wind
• Exobiology, including origin of life, detection of planetary ecosystems and pre-biological phenomena in the solar system and laboratory simulations
• Extrasolar systems, including the detection and/or the detectability of exoplanets and planetary systems, their formation and evolution, the physical and chemical properties of the exoplanets
• History of planetary and space research