This paper presents a novel hybrid algorithm named Since Cosine Crow Search Algorithm. To propose the SCCSA, two novel algorithms are considered including Crow Search Algorithm (CSA) and Since Cosine Algorithm (SCA). The advantages of the two algorithms are considered and utilize to design an efficient hybrid algorithm which can perform significantly better in various benchmark functions. The c...

Feature selection is a multi-objective problem, which can eliminate irrelevant and redundant features improve the accuracy of classification at same time. great challenge to balance conflict between two goals feature ratio. The evolutionary algorithm has been proved be suitable for selection. Recently, new meta-heuristic named crow search applied problem This advantages few parameters achieved ...

In the field of natural language processing, semantic disambiguation words is beneficial to several applications, which helps us identify correct meaning a word or sequence according given context. It can be formulated as combinatorial optimization problem where goal find set meanings that contribute improving relationship between target words. The Crow Search Algorithm (CSA) nature-inspired al...