| dc.contributor.author |
Moraes, Matheus Bernardelli de |
|
| dc.contributor.author |
Coelho, Guilherme Palermo |
|
| dc.date |
2023-03-30 |
|
| dc.date.accessioned |
2023-03-24 |
|
| dc.date.accessioned |
2023-03-31T12:11:16Z |
|
| dc.date.available |
2023-03-31T12:11:16Z |
|
| dc.identifier.uri |
https://doi.org/10.25824/redu/KF8HK6 |
|
| dc.identifier.uri |
https://redu.unicamp.br/dataset.xhtml?persistentId=doi:10.25824/redu/KF8HK6 |
|
| dc.description |
This package contains the datasets, experimental results and reference sets of the paper <i>A benchmark generator for ensemble-based discrete optimization</i>. The following files are included:
<ul>
<li>File <i>test_instances.zip</i>: contains the test instances (TP1 to TP10) used in the experiments. For each test instance, three files are available: TP_k_F_m.txt, which contains the earnings of each decision variable for each scenario; TP_k_F_m_probabilities.txt, which contains the probability of occurrence for each scenario; and TP_k_F_m_weights.txt, which contains the generated weights for each decision variable. The value of k ranges from 1 to 10, and m ranges from 2 to 4. </li>
<li>File <i>experimental_results.zip</i>: contains the experimental results. There is a subfolder for each test instance, and within each subfolder, there are 31 files for each algorithm, containing the non-dominated solutions obtained in each of the 31 independent repetitions.</li>
<li>File <i>reference_sets.zip</i>: contains the reference sets, which are the best-known solutions for each test instance. Each file is structured as follows: each row contains an N-sized decision vector separated by semicolons, and the last values correspond to the objective function values. For example, if it is a bi-objective problem, consider the last two values; if it is a three-objective problem, consider the last three values, and so on.</li>
</ul> |
|
| dc.description.sponsorship |
Fundação de Amparo à Pesquisa do Estado de São Paulo |
|
| dc.format |
application/octet-stream |
|
| dc.format |
application/octet-stream |
|
| dc.format |
application/octet-stream |
|
| dc.publisher |
Coelho, Guilherme Palermo |
|
| dc.subject |
Computer and Information Science |
|
| dc.title |
Replication data for: a benchmark generator for ensemble-based discrete optimization |
|
| dc.description.sponsorshipId |
FAPESP: 2017/15736-3 |
|