Compound Particle Swarm Optimization

Author: Tianjiang Shuo

Website: https://cislunarspace.cn

Definition

An improved particle swarm optimization algorithm that emphasizes the role of local optimal particles in the early stage to enhance global search capability, and emphasizes the role of global optimal particles in the later stage to improve convergence and precision. This algorithm is used to solve the optimization problems of three-impulse and four-impulse low-energy transfer orbits.

Application Value

Compound Particle Swarm Optimization plays a critical role in trajectory optimization and multi-body dynamics analysis for solving complex trajectory design problems.

Related Concepts

• RKF7(8) Integrator
• Mean Motion Resonance, MMR
• Thrust Acceleration
• Markov Decision Process, MDP

References

• 乔琛远和杨乐平 - 2024 - 地月L1点低能转移轨道设计与优化