Three-Body Deterministic Optimizer TBD

版本 1.0.0 (223.0 KB) 作者: Ali
Deterministic optimizer from three-body dynamics and logistic chaos; Newtonian/Lagrangian moves for robust engineering design & ML tuning.
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更新时间 2025/9/19

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Three-Body Deterministic Optimizer (TBD) is a purely deterministic global optimizer inspired by classical three-body dynamics with a logistic-map chaotic driver. It alternates Newtonian and Lagrangian maneuvers to refine candidate solutions within bounds. TBD has demonstrated strong performance on engineering design problems, machine learning hyperparameter tuning, and benchmark test suites such as CEC2017 and CEC2022.
Features
  • Deterministic search (no stochastic randomness required)
  • Logistic-map chaos to diversify exploration
  • Dual maneuvers: Newtonian (best-orbit pull) & Lagrangian (peer-body)
  • Validated on CEC2017 and CEC2022 benchmarks
  • Applied to engineering design optimization and ML hyperparameter tuning
  • Tracks best value, best vector, full trajectory, and final population states

引用格式

Ali (2025). Three-Body Deterministic Optimizer TBD (https://ww2.mathworks.cn/matlabcentral/fileexchange/182063-three-body-deterministic-optimizer-tbd), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.0.0