The Lion's Algorithm: A New Nature-Inspired Search Algorithm

Natural Computing is an efficient computing field that intends to develop search, optimization and machine learning algorithms by the inspiration of nature's behavior in problem solving circumstances. In the same way, numerous biologically or naturally inspired search and optimization algorithms have been proposed in the literature. This paper proposes a novel solution search algorithm called lion's algorithm. The natural inspiration behind the proposed algorithm is lion's social behavior that aids to keep the mammal be strong in the world. The interpretation of such social behavior to algorithmic perspective helps in searching out highly optimal solutions from a huge solution space. The algorithm solves both single variable and multi-variable cost function problems through the generation of binary structured and integer structured lion, respectively. The algorithm is implemented and tested using De-Jong's Type I function and the results are compared against the evolutionary programming. The test results show the algorithm performance under varying sizes of solution spaces.