# Quadratic Multiple Knapsack Problem on QMKP 1k

Source: [Quadratic Multiple Knapsack Problem on QMKP 1k](<https://www.sota2.com/research/sota/quadratic-multiple-knapsack-problem-on-qmkp-1k>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-23T11:07:11.225Z

Evaluation of algorithms solving the Quadratic Multiple Knapsack Problem using the QMKP 1k instance set, measured by optimality gap percentage.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Quadratic Multiple Knapsack Problem |
| Dataset (including any stated split) | QMKP 1k |
| Metric | Optimality Gap (%) |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 18 of 18 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Optimality Gap (%)](<https://www.sota2.com/research/sota/quadratic-multiple-knapsack-problem-on-qmkp-1k.md?metric=Optimality%20Gap%20(%25)>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Optimality Gap (%) | Result date | Report paper |
| --- | --- | --- | --- |
| HNN | 0.16 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| HNN | 0.18 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| HNN | 0.31 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| HNN | 0.33 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| Neural QP | 0.35 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| Neural QP | 0.35 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| Exact solver | 0.38 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| Neural QP | 0.38 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| TriGNN | 0.43 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| GNNQP | 0.45 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| TriGNN | 0.46 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| TriGNN | 0.47 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| GNNQP | 0.49 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| GNNQP | 0.52 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| TriGNN | 0.52 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| Neural QP | 0.54 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| GNNQP | 0.54 | Not recorded | 69c0c9030636e5bf4afc3b6f |
| Exact solver | 5.15 | Not recorded | 69c0c9030636e5bf4afc3b6f |

### HNN

Optimality Gap (%): 0.16. Result ID: 69c11eda47f34ce924a9756e.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### HNN

Optimality Gap (%): 0.18. Result ID: 69c11eda47f34ce924a9756f.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"SCIP"}. This record does not assert independent reproduction.

### HNN

Optimality Gap (%): 0.31. Result ID: 69c11eda47f34ce924a97570.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### HNN

Optimality Gap (%): 0.33. Result ID: 69c11eda47f34ce924a97571.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"SCIP"}. This record does not assert independent reproduction.

### Neural QP

Optimality Gap (%): 0.35. Result ID: 69c11eda47f34ce924a97562.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5c601e209131ce9d0714.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### Neural QP

Optimality Gap (%): 0.35. Result ID: 69c11eda47f34ce924a97564.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5c601e209131ce9d0714.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### Exact solver

Optimality Gap (%): 0.38. Result ID: 69c11eda47f34ce924a97560.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

Recorded evaluation configuration: {"Base solver":"Gurobi"}. This record does not assert independent reproduction.

### Neural QP

Optimality Gap (%): 0.38. Result ID: 69c11eda47f34ce924a97565.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5c601e209131ce9d0714.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"SCIP"}. This record does not assert independent reproduction.

### TriGNN

Optimality Gap (%): 0.43. Result ID: 69c11eda47f34ce924a9756a.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5cd51e209131ce9d4986.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### GNNQP

Optimality Gap (%): 0.45. Result ID: 69c11eda47f34ce924a97566.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5e471e209131ce9e0eae.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### TriGNN

Optimality Gap (%): 0.46. Result ID: 69c11eda47f34ce924a9756c.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5cd51e209131ce9d4986.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### TriGNN

Optimality Gap (%): 0.47. Result ID: 69c11eda47f34ce924a9756d.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5cd51e209131ce9d4986.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"SCIP"}. This record does not assert independent reproduction.

### GNNQP

Optimality Gap (%): 0.49. Result ID: 69c11eda47f34ce924a97568.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5e471e209131ce9e0eae.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"Gurobi"}. This record does not assert independent reproduction.

### GNNQP

Optimality Gap (%): 0.52. Result ID: 69c11eda47f34ce924a97569.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5e471e209131ce9e0eae.md>)

Recorded evaluation configuration: {"Train":"1k","Base solver":"SCIP"}. This record does not assert independent reproduction.

### TriGNN

Optimality Gap (%): 0.52. Result ID: 69c11eda47f34ce924a9756b.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5cd51e209131ce9d4986.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"SCIP"}. This record does not assert independent reproduction.

### Neural QP

Optimality Gap (%): 0.54. Result ID: 69c11eda47f34ce924a97563.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5c601e209131ce9d0714.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"SCIP"}. This record does not assert independent reproduction.

### GNNQP

Optimality Gap (%): 0.54. Result ID: 69c11eda47f34ce924a97567.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5e471e209131ce9e0eae.md>)

Recorded evaluation configuration: {"Train":"Mini","Base solver":"SCIP"}. This record does not assert independent reproduction.

### Exact solver

Optimality Gap (%): 5.15. Result ID: 69c11eda47f34ce924a97561.

[Reporting paper](<https://www.sota2.com/research/paper/69c0c9030636e5bf4afc3b6f.md>)

Recorded evaluation configuration: {"Base solver":"SCIP"}. This record does not assert independent reproduction.

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