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Sine Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering
Faculty
Science
Year:
2022
Type of Publication:
ZU Hosted
Pages:
Authors:
Rehab Aly Ibrahim Muhammed
Staff Zu Site
Abstract In Staff Site
Journal:
Expert Systems with Applications Elseveir
Volume:
Keywords :
Sine Cosine-Barnacles Algorithm Optimizer with disruption
Abstract:
In this paper, an improved Barnacles Mating Optimizer (BMO) is proposed to deal with optimization problems and develop a new automatic clustering approach. BMO is a well-established optimization technique inspired by the mating behavior of barnacles in real-life. The exploratory trends of BMO are influential and can maintain the right balance among exploration and exploitation. However, this population-based method can be improved further to reduce the probability of potential drawbacks for any optimization technique. As such, we revised the core searching phased of BMO based on a sine-cosine algorithm (SCA) and disruption operators (DO). The proposed method is named BMSCD, which updates the current solution by switching between the mechanisms of the BMO and SCA based on a probability calculated using the fitness value of the current solution. The experiments results on various benchmark cases for global optimizations demonstrate the improved performance of the proposed BMSCD in terms of quality of solutions, the balance of the exploration-exploitation, and convergence rates. Besides, the proposed BMSCD is evaluated by nine measures in solving different clustering problems. The results show that the BMSCD can effectively and powerfully address the tested problems and provide excellent performance compared to the state-of-the-art methods.
Author Related Publications
Rehab Aly Ibrahim Muhammed, "Image Denoising using K-SVD Algorithm based on Gabor Wavelet Dictionary", International Journal of Computer Applications, 2012
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Rehab Aly Ibrahim Muhammed, "Cooperative Meta-heuristic Algorithms for Global Optimization Problems", Elseveir, 2021
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Rehab Aly Ibrahim Muhammed, "Efficient artificial intelligence forecasting models for COVID-19outbreak in Russia and Brazil", Elseveir, 2021
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Rehab Aly Ibrahim Muhammed, "Automatic clustering method to segment COVID-19 CT images", ٍٍSpringer, 2021
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Rehab Aly Ibrahim Muhammed, "Fractional Calculus-Based Slime Mould Algorithm for Feature Selection Using Rough Set", IEEE, 2021
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Department Related Publications
Heba Ibrahim Mustafa, "On lower and upper intension order relations by different cover concepts", Elsevier, 2011
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Nagla Ameen Mohamed Hssan, "On the Reliability of Multi-State m-consecutive-at least-k-out-of-n: F Systems", Foundation of Computer Science (FCS), New York, USA, 2013
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Elsayed Ibrahim Abdelgalil Mahmoud, "Normal Jacobi field on Riemannian manifold", SCIK Publishing Corporation, 2013
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Alaa Hassan Attia Hassan, "Harmonic Univalent Functions with Varying Arguments Defined by Using Salagean Integral Operator", University of Alba Iulia, Romania, 2013
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Yasser AbdelAziz Amer Tolba, "blind signal separation using adaptive generalized Gamma distribution", امريكا, 2013
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