Adaptive Sine Cosine Optimization Algorithm Integrated with Particle Swarm for Pairwise Local Sequence Alignment.

Faculty Engineering Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Ahmed Mohamed Helmy Elsadiek
Journal: بمجلة جراحة الصدر والقلب الأمريكية Elsevier Volume:
Keywords : Adaptive Sine Cosine Optimization Algorithm Integrated    
Abstract:
The sine cosine algorithm (SCA), a recently proposed population-based optimization algorithm, is based on the use of sine and cosine trigonometric functions as operators to update the movements of the search agents. To optimize performance,
    
     
 
       

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  • Ahmed Mohamed Helmy Elsadiek, "Pairwise Global Sequence Alignment Using Sine-Cosine Optimization Algorithm.", Springer, Cham., 2018 More
  • Ahmed Mohamed Helmy Elsadiek, "Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a Case Study", Springer, 2021 More
  • Ahmed Mohamed Helmy Elsadiek, "Optimal reconfiguration for vulnerable radial smart grids under uncertain operating conditions", Elsevier Ltd., 2021 More

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