1 research outputs found
Sine Cosine Crow Search Algorithm: A powerful hybrid meta heuristic for global optimization
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 combination of concept and operators of the two algorithms
enable the SCCSA to make an appropriate trade-off between exploration and
exploitation abilities of the algorithm. To evaluate the performance of the
proposed SCCSA, seven well-known benchmark functions are utilized. The results
indicated that the proposed hybrid algorithm is able to provide very
competitive solution comparing to other state-of-the-art meta heuristics.Comment: Third International Conference on Artificial Intelligence and Soft
Computin