publications

Journal Articles

  1. JSR
    Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
    Yuji Takubo, Hao Chen, and Koki Ho
    Journal of Spacecraft and Rockets 2022
  2. JSR
    Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
    Masafumi Isaji, Yuji Takubo, and Koki Ho
    Journal of Spacecraft and Rockets 2022
  3. Automated Tour Design in the Saturnian System
    Yuji Takubo, Damon Landau, and Brian Anderson
    In 33rd AAS/AAIA Space Flight Mechanics Meeting 2023, Austin, TX (Full paper Accepted.arXiv preprint arXiv:2210.14996) 2023
  4. CEC
    Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization
    Yuji Takubo, and Masahiro Kanazaki
    In 2022 IEEE Congress on Evolutionary Computation (CEC) 2022
  5. Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
    Masafumi Isaji, Yuji Takubo, and Koki Ho
    In ASCEND 2021 2021
  6. Robust Multi‑objective Optimization of the Control Input of Trajectory Planning (「経路設計のための制御入力の多目的ロバスト最適化」)
    Yuji Takubo, and Masahiro Kanazaki
    In The 20th Japanese Society of Evolutionary Computation Symposium (第20回日本進化計算学会研究会) 2021
  7. Performance Analysis of Hierarchical Reinforcement Learning Framework for Stochastic Space Logistics
    Yuji Takubo, Hao Chen, and Koki Ho
    In ASCEND 2020 2020

Conference Papers

  1. Automated Tour Design in the Saturnian System
    Yuji Takubo, Damon Landau, and Brian Anderson
    In 33rd AAS/AAIA Space Flight Mechanics Meeting 2023, Austin, TX (Full paper Accepted.arXiv preprint arXiv:2210.14996) 2023
  2. CEC
    Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization
    Yuji Takubo, and Masahiro Kanazaki
    In 2022 IEEE Congress on Evolutionary Computation (CEC) 2022
  3. Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
    Masafumi Isaji, Yuji Takubo, and Koki Ho
    In ASCEND 2021 2021
  4. Robust Multi‑objective Optimization of the Control Input of Trajectory Planning (「経路設計のための制御入力の多目的ロバスト最適化」)
    Yuji Takubo, and Masahiro Kanazaki
    In The 20th Japanese Society of Evolutionary Computation Symposium (第20回日本進化計算学会研究会) 2021
  5. Performance Analysis of Hierarchical Reinforcement Learning Framework for Stochastic Space Logistics
    Yuji Takubo, Hao Chen, and Koki Ho
    In ASCEND 2020 2020