ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Faculty Engineering Year: 2018
Type of Publication: ZU Hosted Pages: 683-698
Authors:
Mohammed Alsayed MohamedAli
Journal: 1 Elsevier Volume:
Keywords : ASCA-PSO: Adaptive sine cosine optimization algorithm    
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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