Determining the Best Route for Multiple Orders Clients in Food Delivery Services with Simulated Annealing Algorithm
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Food delivery services have been widely implemented by several companies such as Gojek Indonesia, Grab, Shopee Food and many more. Busyness and busy activity motivates someone to order online food delivery to meet their needs. For example, a worker who is tired of working all day orders food online for the dinner menu instead of cooking. Simulated annealing (SA) is an algorithm for performing general optimization. In this study, researchers built a system that determines the best delivery routes to deliver messages between customer meals using a simulated annealing algorithm. From the results of the study it was found that the application of the simulated annealing algorithm in finding the best route for multiple client food delivery in Binjai using data collected from drivers was quite good. Based on the results of trials conducted, Route [0-1-5-2-3-4] with a length of 6.29 km is the best route among others.
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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 | 0.001 |
| 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