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Energy Management System in the Vehicles using Three Level Neuro Fuzzy Logic
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A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems
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An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
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Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
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Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
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Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach
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Review on Data Securing Techniques for Internet of Medical Things
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Volume - 2 | Issue - 4 | december 2020
Published
07 September, 2020
Image fusion has gained huge popularity in the field of medical and satellite imaging for image analysis. The lack of usages of image fusion is due to a deficiency of suitable optimization techniques and dedicated hardware. In recent days WOA (whale optimization algorithm) is gaining popularity. Like another straightforward nature-inspired algorithm, WOA has some problems in its searching process. In this paper, we have tried to improve the WOA algorithm by modifying the WOA algorithm. This MWOA (modified whale optimization algorithm) algorithm is amalgamed with LSA (local search algorithm) and BA (bat algorithm). The LSA algorithm helps the system to be faster, and BA algorithm helps to increase the accuracy of the system. This optimization algorithm is checked using MATLAB R2018b. Simulated using ModelSim, and the synthesizing is done using Xilinx Vivado 18.2 synthesis tool. The outcome of the simulation result and the synthesis result outshine other metaheuristic optimization algorithms.
KeywordsWOA modified WOA prey MWOA BA LSS metaheuristic optimization heuristic optimization
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