STNWeb: A new visualization tool for analyzing optimization algorithms-Reference-Cited by-同舟云学术

STNWeb: A new visualization tool for analyzing optimization algorithms

Published:2023-09 Issue: Volume:17 Page:100558
ISSN:2665-9638
Container-title:Software Impacts
language:en
Short-container-title:Software Impacts

Author:

Chacón Sartori Camilo,Blum Christian^ORCID,Ochoa Gabriela

Funder

Agencia Estatal de Investigación

Publisher

Elsevier BV

Subject

Software

Reference15 articles.

1. Metaheuristics in combinatorial optimization;Gendreau;Ann. Oper. Res.,2005

2. Metaheuristics in combinatorial optimization: Overview and conceptual comparison;Blum;ACM Comput. Surv.,2003

3. Applying software visualization technology to support the use of evolutionary algorithms;Collins;J. Vis. Lang. Comput.,2003

4. Multidimensional scaling for evolutionary algorithms – visualization of the path through search space and solution space using Sammon mapping;Pohlheim;Artif. Life,2006

5. Low-dimensional Euclidean embedding for visualization of search spaces in combinatorial optimization;Michalak;IEEE Trans. Evolut. Comput.,2019

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Large Language Models for the Automated Analysis of Optimization Algorithms;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. An Extension of STNWeb Functionality: On the Use of Hierarchical Agglomerative Clustering as an Advanced Search Space Partitioning Strategy;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. Data Insights Nexus-Innovative Platform for Dynamic Modeling and Visual Analytics;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

4. Impact of ACO intelligent vehicle real-time software in finding shortest path;Software Impacts;2024-03

5. FPGA-based hardware implementation of chaotic opposition-based arithmetic optimization algorithm;Applied Soft Computing;2024-03