Research and Application of a New Lion Swarm Algorithm

Aiming at the defects of fast convergence speed lion swarm algorithm and easy to fall into local optimum, a variable-speed elastic collision (VELSO) is proposed. Firstly, flexibility lioness search increased according variable spiral strategy, then two lionesses learn learning strategies teaching algorithms enhance interactive behavior hunting. Then, improved refraction reverse strategy used increase diversity population make individual quality better. Finally, probability jumping out optimum improve ability obtain optimal solution. In order verify effectiveness proposed algorithm, 16 test functions were compared with other algorithms, which proved that very effective. applied DV-Hop positioning, verifies feasibility practicability algorithm.