Improved Adaptive Genetic Algorithm in Optimal Layout of Leather Rectangular Parts
Why this work is in the frame
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Bibliographic record
Abstract
In the mass customization of Leather products (such as sofa), the intelligent layout is the key technology to improve material utilization. The paper faces artificial leather fabric cutting problem, most can be converted into a rectangle packing layout problem. This paper proposes a new improved adaptive genetic algorithm. Crossover and mutation probability of genetic algorithm adaptively adjust on the basis of logistic curve equation and the shortcomings of traditional adaptive genetic algorithm solved well. The remaining rectangle algorithm as the decoding algorithm and adopting New cross-ways, the niche technology controlled whether the child individual replacement the parent individual or not accelerating convergence rate. Examples show that the algorithm of leather fabrics nesting is effective and a substantial increase in the utilization of leather fabric.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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