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http://hdl.handle.net/1893/35621| Appears in Collections: | Computing Science and Mathematics Journal Articles |
| Peer Review Status: | Refereed |
| Title: | STNWeb: A new visualization tool for analyzing optimization algorithms |
| Author(s): | Chacón Sartori, Camilo Blum, Christian Ochoa, Gabriela |
| Contact Email: | gabriela.ochoa@stir.ac.uk |
| Keywords: | Algorithm analysis Visualization Behavior of optimization algorithms Web application |
| Issue Date: | Sep-2023 |
| Date Deposited: | 20-Nov-2023 |
| Citation: | Chacón Sartori C, Blum C & Ochoa G (2023) STNWeb: A new visualization tool for analyzing optimization algorithms. <i>Software Impacts</i>, 17, Art. No.: 100558. https://doi.org/10.1016/j.simpa.2023.100558 |
| Abstract: | STNWeb is a new web tool for the visualization of the behavior of optimization algorithms such as metaheuristics. It allows for the graphical analysis of multiple runs of multiple algorithms on the same problem instance and, in this way, it facilitates the understanding of algorithm behavior. It may help, for example, in identifying the reasons for a rather low algorithm performance. This, in turn, can help the algorithm designer to change the algorithm in order to improve its performance. STNWeb is designed to be user-friendly. Moreover, it is offered for free to the research community. |
| DOI Link: | 10.1016/j.simpa.2023.100558 |
| Rights: | This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Licence URL(s): | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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