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RPP_VNS_data

Goals โšฝ

The aim of this repository is to provide some details of the data sets used in paper [1]. This article has been developed by some members of the OASYS group. We suggest you visit the related links to know more our research ๐Ÿ˜‰

How can I download the data? โฌ‡

Please, click at this link.

Summary ๐Ÿงฎ๐Ÿ“Š๐Ÿ“–

This repo contains the data for the four instances that are used in the paper to show the efficiency of our proposal.

For each dataset, you can find two files, called budgets.csv and satisfaction.csv. The budget file contains a column vector of size $K$, where $K$ denotes the number of customers. The file satisfaction.csv includes a $I\times K$, where $I$ denotes the number of products. The component $(i, k)$ of the matrix represents the preference value for product $i$ of customer $k$.

References ๐Ÿ“š

[1] Asunciรณn Jimรฉnez-Cordero, Salvador Pineda, Juan Miguel Morales, An enhanced heuristic framework for solving the Rank Pricing Problem, Expert Systems with Applications, Volume 276, 2025, 127122, https://doi.org/10.1016/j.eswa.2025.127122.

[2] OASYS, RPP_VNS_data, Github repository (https://github.com/groupoasys/RPP_VNS_data), 2024.

How to cite the repo and the paper? ๐Ÿ“

If you want to cite paper [1] or this repo [2], please use the following bib entry:

  • Article:
@article{jimenezcordero2025,
author={Asunciรณn Jimรฉnez-Cordero, Salvador Pineda and Juan M. Morales},
journal={Expert Systems with Applications},
title={An enhanced heuristic framework for solving the Rank Pricing Problem},
year={2025},
volume={276,
pages={127122}}
  • Repository:
@article{OASYS2024RPP,
author = {OASYS},
journal = {GitHub repository},
title = {{RPP_VNS_data}},
url = {https://github.com/groupoasys/RPP\_VNS\_data},
year = {2024}
}

Do you want to contribute? ๐Ÿ™‹โ€โ™€๏ธ๐Ÿ™‹โ€โ™‚๏ธ

Please, do it ๐Ÿ˜‹ Any feedback is welcome ๐Ÿค— so feel free to ask or comment anything you want via a Pull Request in this repo. If you need extra help, you can ask Asunciรณn Jimรฉnez-Cordero (asuncionjc@uma.es), Salvador Pineda (spineda@uma.es) or Juan Miguel Morales (juan.morales@uma.es).

Contributors ๐ŸŒฌโ˜€

Developed by ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ป

License ๐Ÿ“

Copyright 2024 Optimization and Analytics for Sustainable energY Systems (OASYS)

Licensed under the GNU General Public License, Version 3 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.gnu.org/licenses/gpl-3.0.en.html

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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