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 Staff Zu Site Abstract In Staff Site
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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