Abstract
For solving the problems of modern intelligence algorithms such as slow convergence and low precision, a new algorithm based on bionics principle has been proposed which is inspired by the foraging behavior of seven-spot ladybirds in the nature. By analyzing the bionic principle of Seven-spot ladybird Optimization(SLO), we simulate the region search pattern of predation of seven-spot ladybirds ,combining fast extensive search with careful and slow intensive search of the ladybirds,meanwhile we use three kinds of evaluation information to evaluate the solutions one by one ,then the exploration and local approximation in the SLO are balanced. Next,in this paper we analyze the SLO theoretically by mathematics, presenting its specific process and proving the feasibility of SLO. The results based on a set of widely used benchmark functions show that Seven-spot ladybird can converge fast and yield distributed solutions with higher precision.