Multi-Objective Design Optimization of Cusped Field Thruster via Surrogate-Assisted Evolutionary Algorithms

Engineering

• Thruster 100%
• Performance 80%
• Fields 60%
• Anode 40%
• Algorithm 40%
• Design Optimization 40%
• Specific Impulse 40%
• Models 20%
• Simulation 20%
• Design 20%
• Efficiency 20%
• Losses 20%
• Erosion 20%
• Electrostatics 20%
• Mass Flowrate 20%
• Power Balance 20%
• Ionization 20%
• Design Parameter 20%
• Permanent Magnet 20%
• Divergence 20%
• Lower Wall 20%
• Design Factor 20%
• Magnetic Field Distribution 20%
• Sensitivity Analysis 20%
• Performance Parameter 20%
• Physical Modeling 20%
• Spacecraft 20%

Physics

• Performance 80%
• Plum 40%
• Algorithms 40%
• Design Optimization 40%
• Behavior 20%
• Model 20%
• Simulation 20%
• Region 20%
• Technology 20%
• Variations 20%
• Alternatives 20%
• Ionization 20%
• Magnets 20%
• Permanent Magnet 20%
• Mass Flow Rate 20%
• Electric Propulsion 20%
• Downscaling 20%
• Plasma Control 20%