Great Dane Natural-Inspired Search Algorithm
A.Albert Alexe, F. Sagayaraj Francis, R. Subramanian · Journal of Applied Science and Engineering · 2021
ABSTRACT The naturally inspired algorithm plays an important role in solving optimization problem. Naturally, inspired algorithm is used to search the optimized result from the large dataset. Many algorithms have been proposed already to solve the complex problem and result was proved. In this paper, we propose a new algorithm called Great Dane natural inspired search algorithm. This algorithm inspires the behaviour of pet animal Great Dane dog. The behaviour of Great Dane is very strong to protect the home. The behaviour of Great Dane is used to find the optimal solution from the large data base. The proposed algorithm is used to solve the single and multi-variable cost function problems through the generation of binary and integer structured Great Dane. The Great Dane algorithm is tested and implemented using De-Jong Type I function and the results provide the performance of the algorithm is better than the other evolutionary algorithms.