loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mateus Espadoto 1 ; 2 ; Francisco C. M. Rodrigues 1 ; 2 ; Nina S. T. Hirata 1 and Alexandru C. Telea 3

Affiliations: 1 Institute of Mathematics and Statistics, University of São Paulo, Brazil ; 2 Johann Bernoulli Institute, University of Groningen, The Netherlands ; 3 Department of Information and Computing Sciences, University of Utrecht, The Netherlands

Keyword(s): Optimization, Dimensionality Reduction, Dense Maps.

Abstract: Operations Research is a very important discipline in many industries, and although there were many developments since its inception, to our knowledge there are no visualization tools focused on helping users understand the decision variables’ domain space and its constraints for problems with more than two input dimensions. In this paper, we propose OptMap, a technique that enables the visual exploration of optimization problems using a two-dimensional dense map, regardless of the number of variables and constraints in the problem and for any kind of single-valued objective function. We show the technique in action for several optimization problems of different types, such as linear, nonlinear and integer, constrained and unconstrained problems.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.221.110.87

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Espadoto, M.; Rodrigues, F.; Hirata, N. and Telea, A. (2021). OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 123-132. DOI: 10.5220/0010288501230132

@conference{ivapp21,
author={Mateus Espadoto. and Francisco C. M. Rodrigues. and Nina S. T. Hirata. and Alexandru C. Telea.},
title={OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={123-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010288501230132},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems
SN - 978-989-758-488-6
IS - 2184-4321
AU - Espadoto, M.
AU - Rodrigues, F.
AU - Hirata, N.
AU - Telea, A.
PY - 2021
SP - 123
EP - 132
DO - 10.5220/0010288501230132
PB - SciTePress