Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization
Author:
Affiliation:
1. School of Aerospace Engineering, Georgia Institute of Technology,Atlanta,GA,USA
2. Graduate School of Systems Design, Tokyo Metropolitan University,Department of Aerospace Engineering,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870365.pdf?arnumber=9870365
Reference44 articles.
1. Multiobjective Optimisation of Aircraft Trajectories Under Wind Uncertainty Using GPU Parallelism and Genetic Algorithms
2. Robust Planning of Nonlinear Rendezvous with Uncertainty
3. Automated Mission Planning via Evolutionary Algorithms
4. Multi-Objective, Multidisciplinary Design Optimization of TSTO Space Planes with RBCC Engines
5. Multi-objective optimisation of aircraft flight trajectories in the ATM and avionics context
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1. Constrained multi-objective optimization problems: Methodologies, algorithms and applications;Knowledge-Based Systems;2024-09
2. Multi-objective optimization problem-solving based on evolutionary algorithms and chaotic systems;Journal of Intelligent & Fuzzy Systems;2023-12-16
3. Robust Constrained Multi-Objective Guidance of Supersonic Transport Landing Using Evolutionary Algorithm and Polynomial Chaos;Aerospace;2023-10-30
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