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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
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Total Authors : 21252
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| Paper Title: | Optimizing Deep Learning Models with HGSO And WWO Algorithms |
| Authors Name: | Gotlur kalpana , P.Swetha , P.sandhya |
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IJRTI_200172
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| Published Paper Id: | IJRTI2501003 |
| Published In: | Volume 10 Issue 1, January-2025 |
| DOI: | |
| Abstract: | Deep learning models are being used more and more in a variety of fields to tackle challenging issues. However, because of the high-dimensional search space and possibility of having inferior results, optimizing hyperparameters, network designs, and training procedures continues to be a substantial difficulty. This study investigates how to improve the effectiveness and efficiency of deep learning models by utilizing metaheuristic optimization methods, particularly the Water Wave Optimization (WWO) and Henry Gas Solubility Optimization (HGSO) algorithms. WWO balances exploration and exploitation by simulating the propagation and refraction of water waves, while HGSO uses gas solubility dynamics to accomplish global optimization. By integrating these algorithms into the training and optimization pipeline of deep learning models, significant improvements in accuracy, convergence speed, and computational efficiency are achieved. Experimental evaluations on benchmark datasets demonstrate the efficacy of this hybrid approach, showcasing its potential to revolutionize the optimization strategies in deep learning applications across diverse fields. |
| Keywords: | Metaheuristic Optimization , Deep Learning Optimization,Henry Gas Solubility Optimization (HGSO),Water Wave Optimization (WWO) |
| Cite Article: | "Optimizing Deep Learning Models with HGSO And WWO Algorithms", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a12-a15, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501003.pdf |
| Downloads: | 000514 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2501003
Registration ID:200172
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a12-a15 Country: HYDERABAD, TELANGANA, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501003 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501003 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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