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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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| Paper Title: | Optimizing Nature`s Blueprint: Comparative Study of Hybrid Algorithms for Terrain Features Extraction |
| Authors Name: | Chandrakiran Reddy Kasireddy , Sai Theja Kunta , Srihitha Jindam , Dr.S Madhu |
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IJRTI_188190
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| Published Paper Id: | IJRTI2310044 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | https://doi.org/10.5281/zenodo.10101567 |
| Abstract: | Extraction of terrain features is a significant conduct with many uses across numerous sectors. This research paper provides a comparative study of three nature-inspired algorithms for extraction of terrain features: the hybrid algorithm PBBO (Union of Biogeography-Based Optimization called as BBO and Particle Swarm Optimization called PSO), the fusion of Biogeography-Based Optimization and Artificial Bee Colony, and the third algorithm which is Hybrid Flower Pollination by Artificial Bees called as FPAB/Biogeography-Based Optimization. We are going to do a thorough comparative analysis to validate the performance of multiple algorithms in this research. We use criteria for evaluation like the kappa coefficient and accuracy to rate the algorithms' efficiency and predictability. The PBBO algorithm develops an optimized and reliable optimization strategy by combining the best qualities of PSO and BBO. Likewise, we combine BBO with ABC making it a hybrid algorithm, to improve the performance of BBO by applying ABC's clustering capabilities. We generate incredibly accurate results in satellite image classification by using flower pollination by artificial bees for data clustering and BBO for classification. The results of the comparative study of these three nature-inspired algorithms advance terrain analysis and support accurate and efficient decision-making spanning a range of applications. |
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| Cite Article: | "Optimizing Nature`s Blueprint: Comparative Study of Hybrid Algorithms for Terrain Features Extraction", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.317 - 324, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310044.pdf |
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| ISSN: |
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 |
| Publication Details: |
Published Paper ID: IJRTI2310044
Registration ID:188190
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10101567
Page No: 317 - 324 Country: Hyderabad, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2310044 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2310044 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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