Optimal regenerator placement for path protection in impairment-aware WDM networks
Bibliographic record
Abstract
This paper addresses the regenerator placement problem (RPP) when designing resilient, impairment aware WDM optical networks. For the RPP, we have proposed two solutions; an optimal solution for small networks (less than 10 nodes) and a near-optimal heuristic solution for practical-sized networks. The optimal solution uses an Integer Linear Program which can be implemented by any solver for mathematical programming. The heuristic makes use of an approach, proposed in a recent paper, that requires a formulation involving an exponential number of constraints. It was shown in that paper that this formulation can be solved very efficiently using a branch-and-cut algorithm and that the approach may be used to design resilient networks which guarantees restoration. In this paper we have shown that this branch-and-cut approach may be used as a part of a highly efficient heuristic which gave optimal results in an overwhelming number of cases that we tested.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".