Graph-Based Optimization: A Bibliometric Analysis of Research Directions and Applications
Keywords:
Graph-based optimization, Bibliometric analysis, Biblioshiny, VOSviewerAbstract
Graph-based optimization is a computational approach that leverages graph structures to efficientlysolve complex problems involving relationships, paths, and networks across diverse fields. This study presents a comprehensive bibliometric analysis
References
A. L. Bertozzi and E. Merkurjev, “Graph-based optimization approaches for machine learning, uncertainty quantification and networks,” in Handbook of Numerical Analysis, vol. 20, Elsevier, 2019, pp. 503–531.
J. Zhang, K. A. Ehinger, H. Wei, K. Zhang, and J. Yang, “A novel graph-based optimization framework for salient object detection,” Pattern Recognit., vol. 64, pp. 39–50, 2017
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Published
2024-06-20
How to Cite
Preetha Mathew. (2024). Graph-Based Optimization: A Bibliometric Analysis of Research Directions and Applications. Journal of Computational Analysis and Applications (JoCAAA), 33(06), 2050–2061. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2893
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