Publication Type : Conference Proceedings
Source : Progress in Advanced Computing and Intelligent Engineering, Springer, 2020
Url : https://link.springer.com/chapter/10.1007/978-981-15-1483-8_48
Campus : Amaravati
School : School of Computing
Verified : No
Year : 2020
Abstract : The present study proposes a hybrid metaheuristic algorithm, viz. hBOSOS with the help of two popular metaheuristics, viz. BOA and SOS. The global search ability of BOA and the local search ability of SOS are combined here to make the proposed algorithm robust and efficient. The proposed algorithm is tested with 26 classical benchmark functions and also to compare, several metaheuristics are taken from the literature. From the comparison, it can be observed that the hBOSOS is superior to the other compared algorithms.
Cite this Research Publication : S. Sharma, A. K. Saha, J. L. Sarkar, CR Panigrahi “hBOSOS: An Ensemble of Butterfly Optimization Algorithm and Symbiosis Organisms Search for Global Optimization, Progress in Advanced Computing and Intelligent Engineering, Springer (Best Paper Award).