An age layered population structure genetic algorithm for the multi-depot vehicle problem
Why this work is in the frame
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Bibliographic record
Abstract
The vehicle routing problem is experienced in several industries such as transportation, distribution and logistics. We study the Multi-depot vehicle routing problem (MDVRP) a variant of the classical VRP with several depots and customers as a multi-objective problem where both the number of vehicles and total distance travelled are minimized simultaneously. A multipopulation structure, i.e., the age layered population structure genetic algorithms (ALPS-GA) with inter-layer transfer strategies is proposed. An empirical study is carried out using well-known MDVRP benchmark problems and using both the weighted sum and Pareto ranking fitness evaluation strategies. A comparative study with previously published genetic algorithms results shows the effectiveness of the proposed ALPS-GA approach.
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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