Design of Brownian Particle Swarm Algorithm for Optimizing Antenna Layout on Unmanned Boat
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Bibliographic record
Abstract
In response to the problem that traditional particle swarm optimization algorithms are difficult to search for optimal solutions due to the complex constraints of unmanned boat platform in antenna coupling layout, a Brownian particle-inspired Brownian particle swarm optimization algorithm is proposed. The new algorithm embeds Brownian particles into the traditional particle swarm optimization algorithm, and the Brownian particles perform irregular exploration movements without being constrained by the constraints in the traditional algorithm, enabling exploration within discontinuous feasible domains. Using Friis transmission equation as the objective function to solve antenna coupling degree of unmanned boats, solving results obtained using Brownian particle swarm optimization algorithm are superior and more efficient compared to those obtained using traditional particle swarm optimization algorithms.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it